## 3 text3 7.701538
## 4 text4 9.639816
## 5 text5 6.863829

plot(web_pages_txt_corpus tok_no_punct_no_STOP_DFM_tstat_lexdiv_cttr$CTTR, type = "l", xaxt = "n", yaxt = "n", grid())

axis(1, at = seq_len(nrow(web_pages_txt_corpus tok_no_punct_no_STOP_DFM_tstat_lexdiv cttr)), labels = c("text1", "text2", "text3", "text4", "text5", "text6", "text7", "text8", "text9"))

<figure><img src="image_213.png" /></figure>

### 6.8.8.2.2.2 Plotting TTR

Index

### 6.8.8.2.3 K (Yule's K)

web_pages_txt_corpus tok_no_punct_no_STOP_DFM_tstat_lexdiv_K <- textstat_lexdiv(web_pages_txt_corp head(web_pages_txt_corpus tok_no_punct_no_STOP_DFM_tstat_lexdiv_K, 5)

#### 6.8.8.2.3.1 Computing K

## document K
## 1 text1 99.10836
## 2 text2 76.55468
## 3 text3 83.57337
## 4 text4 60.17308
## 5 text5 90.83763

plot(web_pages_txt_corpus tok_no_punct_no_STOP_DFM_tstat_lexdiv_K$K, type = "l", xaxt = "n", xlab = "text1", yaxt = "n", ylab = "text2")

axis(1, at = seq_len(nrow(web_pages_txt_corpus tok_no_punct_no_STOP_DFM_tstat_lexdiv_K))), labels = c("text1", "text2", "text3", "text4", "text5", "text6", "text7", "text8", "text9"))
<figure><img src="image_214.png" /></figure>

### 6.8.8.2.3.2 Plotting K

Index

### 6.8.8.3 Keyness - relative frequency analysis

The relative frequency analysis allows to provide a statistical analysis of frequent words as a function of a target reference level. For this dataset, we do not have a specific target. Hence the comparison is done based on the full dataset.

```
web_pages_txt_corpus_tokens_no_punct_no_stop_dfm_tstat_key <- textstat_keyness(web_pages_txt_corpus_tokens_no_punct_no_stop_dfm_tstat_key, 10)
```

#### 6.8.8.3.1 Computing keyness

<table><thead><tr><th>##</th><th>feature</th><th>chi2</th><th>p</th><th>n_target</th><th>n_reference</th></tr></thead><tbody><tr><td>## 1</td><td>ggplot2</td><td>234.98239</td><td>0.000000e+00</td><td>26</td><td>2</td></tr><tr><td>## 2</td><td>faq</td><td>61.00858</td><td>5.662137e-15</td><td>7</td><td>0</td></tr><tr><td>## 3</td><td>graphics</td><td>61.00858</td><td>5.662137e-15</td><td>7</td><td>0</td></tr><tr><td>## 4</td><td>chang</td><td>20.53116</td><td>5.866844e-06</td><td>3</td><td>0</td></tr><tr><td>## 5</td><td>kara</td><td>20.53116</td><td>5.866844e-06</td><td>3</td><td>0</td></tr><tr><td>## 6</td><td>lin</td><td>20.53116</td><td>5.866844e-06</td><td>3</td><td>0</td></tr><tr><td>## 7</td><td>pedersen</td><td>20.53116</td><td>5.866844e-06</td><td>3</td><td>0</td></tr><tr><td>## 8</td><td>winston</td><td>20.53116</td><td>5.866844e-06</td><td>3</td><td>0</td></tr><tr><td>## 9</td><td>woo</td><td>20.53116</td><td>5.866844e-06</td><td>3</td><td>0</td></tr><tr><td>## 10</td><td>author</td><td>19.34380</td><td>1.091731e-05</td><td>10</td><td>20</td></tr></tbody></table>

```
textplot_keyness(web_pages_txt_corpus_tokens_no_punct_no_stop_dfm_tstat_key, margin = 0.2)
```
<figure><img src="image_215.png" /></figure>

### 6.8.8.3.2 Plotting

### 6.8.8.4 Collocations - scoring multi-word expressions

A collocation analysis is a way to identify contiguous collocations of words, i.e., multi-word expressions. Depending on the language, these can be identified based on capitalisation (e.g., proper names) as in English texts. However, this is not the same across languages.

We look for capital letters in our text. The result provides Wald's Lambda and z statistics. Usually, any z value higher or equal to 2 is statistically significant. To compute p values, we use the probability of a normal distribution based on a mean of 0 and an SD of 1. This is appended to the table.

```
web_pages_txt_corpus tok_no_punct_no_STOP_tstat_col_caps <- tokens_select(web_pages_txt_corpus_tstat_cdf,
web_pages_txt_corpus tok_no_punct_no_STOP_tstat_col_caps
```

<table><thead><tr><th>##</th><th>collocation</th><th>count</th><th>count_nested</th><th>length</th><th>lambda</th><th>z</th><th>p_value</th></tr></thead><tbody><tr><td>## 1</td><td>pak pak</td><td>12</td><td>0</td><td>2</td><td>7.082777</td><td>11.371583</td><td>0.000000e+00</td></tr><tr><td>## 2</td><td>hadley wickham</td><td>18</td><td>0</td><td>2</td><td>12.606207</td><td>6.260750</td><td>1.915649e-10</td></tr><tr><td>## 3</td><td>code conduct</td><td>13</td><td>0</td><td>2</td><td>8.624086</td><td>5.915232</td><td>1.657036e-09</td></tr></tbody></table>

### 6.8.8.5 Word clouds

We can use word clouds of the top 100 words

```
set.seed(132)
web_pages_txt_corpus tok_no_punct_no_STOP_dfm %>%
textplot_wordcloud(max_words = 100, color = brewer.pal(8, "Dark2"))
```
<figure><img src="image_216.png" /></figure>

### 6.8.8.6 Network of feature co-occurrences

A Network of feature co-occurrences allows to obtain association plot of word usage. We use an fcm (feature co-occurrence matrix) based on our DFM.

```
set.seed(144)
web_pages_txt_corpus tok_no_punct_no_STOP_dfm %>

dfm.trim(min_termfreq = 20) %>

textplot_network(min_freq = 0.5)
```

<figure><img src="image_217.png" /></figure>
### 6.8.8.7 Poisson regression

Finally, we run a GLM with a poisson family to evaluate the significance level of our most frequent words.

```
web_pages_txt_corpus_GLM <- web_pages_txt_corpus_tokens_no_punct_no_stop_dfm_freq %>%
  filter(frequency >= 20) %>%
  glm(frequency ~ feature, data = ., family = "poisson")
summary(web_pages_txt_corpus_GLM)
```

#### 6.8.8.7.1 Computing GLM

```
##
## Call:
##   glm(formula = frequency ~ feature, family = "poisson", data = .)
##
## Coefficients:
##                 Estimate   Std. Error   z value   Pr(>\|z\|)
## (Intercept)          4.5109       0.1048    43.031 < 2e-16
## feature=            -0.8733       0.1931   -4.521 6.14e-06
## feature>             1.0913       0.1212     9.007 < 2e-16
## feature             0.3719       0.1363     2.730 0.006337
## feature1             -0.2342       0.1577   -1.485 0.137597
## feature2             -0.6607       0.1796   -3.678 0.000235
## feature3             -0.8473       0.1914   -4.427 9.55e-06
## feature4             -1.2920       0.2258   -5.722 1.06e-08
## feature5             -1.3754       0.2334   -5.893 3.79e-09
## featureauthor        -1.1097       0.2105   -5.271 1.36e-07
## featurechr           -1.0769       0.2080   -5.178 2.24e-07
## featurecode          -1.0451       0.2055   -5.085 3.67e-07
## featurecolumn        -1.1787       0.2161   -5.454 4.93e-08
## featuredata           -0.5035       0.1708   -2.948 0.003197
## featuredplyr          -1.4198       0.2376   -5.976 2.28e-09
## featurefunctions     -1.1436       0.2132   -5.363 8.20e-08
## featureggplot2       -1.1787       0.2161   -5.454 4.93e-08
## featureinstall.packages -1.2528       0.2224   -5.634 1.77e-08
## featurelearn         -1.5151       0.2470   -6.135 8.51e-10
## featurelicense        -1.2528       0.2224   -5.634 1.77e-08
## featurereadr         -1.1436       0.2132   -5.363 8.20e-08
## featuretibble        -1.0451       0.2055   -5.085 3.67e-07
## featuretidyverse      -0.9845       0.2010   -4.898 9.68e-07
## featureversion       -0.2068       0.1565   -1.321 0.186470
##
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for poisson family taken to be 1)
```
##
## Null deviance: 8.0439e+02 on 23 degrees of freedom
## Residual deviance: 3.5527e-15 on 0 degrees of freedom
## AIC: 180.61
##
## Number of Fisher Scoring iterations: 3

6.8.8.7.2 Visualising coefficients

6.8.8.7.2.1 A plot We use two functions from the package ggstats. Be-
cause we used a poisson distribution, we obtain the results in IRR (=Incident
rate ratios). Usually, we need to exponentiate these to make sense of the results.

ggcoef_model(web_pages_txt_corpus_GLM, exponentiate = TRUE)

<figure><img src="image_218.png" /></figure>

ggcoef_table(web_pages_txt_corpus_GLM, exponentiate = TRUE)
feature

<figure><img src="image_219.png" /></figure>

● p <= 0.05

○ p > 0.05

6.8.8.7.2.2 A plot + a table + 95% CI

## 6.9 session info

sessionInfo()

## R version 4.5.2 (2025-10-31 ucrt)

## Platform: x86_64-w64-mingw32/x64

## Running under: Windows 11 x64 (build 26200)

##

## Matrix products: default

## LAPACK version 3.12.1

##

## locale:

## [1] LC_COLLATE=English_United Kingdom.utf8

## [2] LC_CTYPE=English_United Kingdom.utf8

## [3] LC_MONETARY=English_United Kingdom.utf8

## [4] LC_NUMERIC=C

## [5] LC_TIME=English_United Kingdom.utf8

##

## time zone: Europe/Paris

## tzcode source: internal

##

## attached base packages:

## [1] stats graphics grDevices utils datasets methods base

##
## other attached packages:

<table><tr><td>[1]</td><td>quanteda.textstats_0.97.2</td><td>wordcloud_2.6</td></tr><tr><td>[3]</td><td>RColorBrewer_1.1-3</td><td>ggraph_2.2.2</td></tr><tr><td>[5]</td><td>textplot_0.2.2</td><td>udpipe_0.8.14</td></tr><tr><td>[7]</td><td>quanteda.textplots_0.96.1</td><td>stopwords_2.3</td></tr><tr><td>[9]</td><td>SnowballC_0.7.1</td><td>tm_0.7-16</td></tr><tr><td>[11]</td><td>NLP_0.3-2</td><td>readtext_0.92.1</td></tr><tr><td>[13]</td><td>quanteda_4.3.1</td><td>gutenbergr_0.3.0</td></tr><tr><td>[15]</td><td>textdata_0.4.5</td><td>proustr_0.4.0</td></tr><tr><td>[17]</td><td>janeaustenr_1.0.0</td><td>rvest_1.0.5</td></tr><tr><td>[19]</td><td>tidytext_0.4.3</td><td>lattice_0.22-7</td></tr><tr><td>[21]</td><td>paletteer_1.6.0</td><td>ggstatsplot_0.13.3</td></tr><tr><td>[23]</td><td>ggstats_0.11.0</td><td>itsadug_2.4.1</td></tr><tr><td>[25]</td><td>plotfunctions_1.4</td><td>mgcv_1.9-4</td></tr><tr><td>[27]</td><td>nlme_3.1-168</td><td>lme4_1.1-37</td></tr><tr><td>[29]</td><td>Matrix_1.7-4</td><td>faux_1.2.3</td></tr><tr><td>[31]</td><td>car_3.1-3</td><td>carData_3.0-5</td></tr><tr><td>[33]</td><td>parameters_0.28.3</td><td>datawizard_1.3.0</td></tr><tr><td>[35]</td><td>effectsize_1.0.1</td><td>pwr_1.3-0</td></tr><tr><td>[37]</td><td>htmltools_0.5.8.1</td><td>sjPlot_2.9.0</td></tr><tr><td>[39]</td><td>DHARMA_0.4.7</td><td>ordinal_2023.12-4.1</td></tr><tr><td>[41]</td><td>psycho_0.6.1</td><td>PresenceAbsence_1.1.11</td></tr><tr><td>[43]</td><td>gsgnif_0.6.4</td><td>emmeans_2.0.0</td></tr><tr><td>[45]</td><td>corrplot_0.95</td><td>Hmisc_5.2-4</td></tr><tr><td>[47]</td><td>knitr_1.50</td><td>broom_1.0.10</td></tr><tr><td>[49]</td><td>cardx_0.3.0</td><td>gtsummary_2.4.0</td></tr><tr><td>[51]</td><td>ggdist_3.3.3</td><td>summarytools_1.1.4</td></tr><tr><td>[53]</td><td>phonR_1.0-7</td><td>languageR_1.6</td></tr><tr><td>[55]</td><td>lubridate_1.9.4</td><td>forcats_1.0.1</td></tr><tr><td>[57]</td><td>stringr_1.6.0</td><td>dplyr_1.1.4</td></tr><tr><td>[59]</td><td>purrr_1.2.0</td><td>readr_2.1.6</td></tr><tr><td>[61]</td><td>tidyr_1.3.1</td><td>tibble_3.3.0</td></tr><tr><td>[63]</td><td>ggplot2_4.0.1</td><td>tidyverse_2.0.0</td></tr></table>

## loaded via a namespace (and not attached):

<table><tr><td>[1]</td><td>fs_1.6.6</td><td>matrixStats_1.5.0</td><td>bitops_1.0-9</td></tr><tr><td>[4]</td><td>httr_1.4.7</td><td>insight_1.4.3</td><td>streamR_0.4.5</td></tr><tr><td>[7]</td><td>numDeriv_2016.8-1.1</td><td>tools_4.5.2</td><td>backports_1.5.0</td></tr><tr><td>[10]</td><td>sjlabelled_1.2.0</td><td>utf8_1.2.6</td><td>R6_2.6.1</td></tr><tr><td>[13]</td><td>statsExpressions_1.7.1</td><td>litedown_0.8</td><td>withr_3.0.2</td></tr><tr><td>[16]</td><td>sp_2.2-0</td><td>splancs_2.01-45</td><td>gridExtra_2.3</td></tr><tr><td>[19]</td><td>cli_3.6.5</td><td>performance_0.15.2</td><td>gt_1.1.0</td></tr><tr><td>[22]</td><td>network_1.19.0</td><td>sandwich_3.1-1</td><td>labeling_0.4.3</td></tr><tr><td>[25]</td><td>slam_0.1-55</td><td>prismatic_1.1.2</td><td>mvtnorm_1.3-3</td></tr><tr><td>[28]</td><td>S7_0.2.1</td><td>askpass_1.2.1</td><td>commonmark_2.0.0</td></tr><tr><td>[31]</td><td>foreign_0.8-90</td><td>parallelle_1.45.1</td><td>attempt_0.3.1</td></tr></table>
<table>
  <tbody>
    <tr>
      <td>[34] labelled_2.16.0</td>
      <td>rstudioapi_0.17.1</td>
      <td>generics_0.1.4</td>
    </tr>
    <tr>
      <td>[37] vroom_1.6.6</td>
      <td>distributional_0.5.0</td>
      <td>abind_1.4-8</td>
    </tr>
    <tr>
      <td>[40] lifecycle_1.0.4</td>
      <td>multcomp_1.4-29</td>
      <td>yaml_2.3.10</td>
    </tr>
    <tr>
      <td>[43] snakecase_0.11.1</td>
      <td>grid_4.5.2</td>
      <td>crayon_1.5.3</td>
    </tr>
    <tr>
      <td>[46] haven_2.5.5</td>
      <td>sna_2.8</td>
      <td>magick_2.9.0</td>
    </tr>
    <tr>
      <td>[49] zeallot_0.2.0</td>
      <td>pillar_1.11.1</td>
      <td>tkltk_4.5.2</td>
    </tr>
    <tr>
      <td>[52] rjson_0.2.23</td>
      <td>boot_1.3-32</td>
      <td>ndjson_0.9.1</td>
    </tr>
    <tr>
      <td>[55] estimability_1.5.1</td>
      <td>codetools_0.2-20</td>
      <td>fastmatch_1.1-6</td>
    </tr>
    <tr>
      <td>[58] glue_1.8.0</td>
      <td>pdftools_3.6.0</td>
      <td>qpdf_1.4.1</td>
    </tr>
    <tr>
      <td>[61] data.table_1.17.8</td>
      <td>broom.helpers_1.22.0</td>
      <td>vctrs_0.6.5</td>
    </tr>
    <tr>
      <td>[64] Rdpack_2.6.4</td>
      <td>gtable_0.3.6</td>
      <td>rematch2_2.1.2</td>
    </tr>
    <tr>
      <td>[67] cachem_1.1.0</td>
      <td>xfun_0.54</td>
      <td>rbibutils_2.4</td>
    </tr>
    <tr>
      <td>[70] tidygraph_1.3.1</td>
      <td>correlation_0.8.8</td>
      <td>coda_0.19-4.1</td>
    </tr>
    <tr>
      <td>[73] reformulas_0.4.2</td>
      <td>survival_3.8-3</td>
      <td>tinytex_0.58</td>
    </tr>
    <tr>
      <td>[76] TH.data_1.1-5</td>
      <td>gap_1.6</td>
      <td>bit64_4.6.0-1</td>
    </tr>
    <tr>
      <td>[79] rpart_4.1.24</td>
      <td>colorspace_2.1-2</td>
      <td>nnet_7.3-20</td>
    </tr>
    <tr>
      <td>[82] tidyselect_1.2.1</td>
      <td>bit_4.6.0</td>
      <td>compiler_4.5.2</td>
    </tr>
    <tr>
      <td>[85] curl_7.0.0</td>
      <td>htmlTable_2.4.3</td>
      <td>xml2_1.5.0</td>
    </tr>
    <tr>
      <td>[88] bayestestR_0.17.0</td>
      <td>bookdown_0.45</td>
      <td>checkmate_2.3.3</td>
    </tr>
    <tr>
      <td>[91] scales_1.4.0</td>
      <td>quadprog_1.5-8</td>
      <td>digest_0.6.39</td>
    </tr>
    <tr>
      <td>[94] minqa_1.2.8</td>
      <td>r markdown_2.30</td>
      <td>pkgconfig_2.0.3</td>
    </tr>
    <tr>
      <td>[97] base64enc_0.1-3</td>
      <td>fastmap_1.2.0</td>
      <td>rlang_1.1.6</td>
    </tr>
    <tr>
      <td>[100] htmlwidgets_1.6.4</td>
      <td>pryr_0.1.6</td>
      <td>farver_2.1.2</td>
    </tr>
    <tr>
      <td>[103] zoo_1.8-14</td>
      <td>statnet.common_4.12.0</td>
      <td>broom.mixed_0.2.9.6</td>
    </tr>
    <tr>
      <td>[106] tokenizers_0.3.0</td>
      <td>RCurl_1.98-1.17</td>
      <td>magrittr_2.0.4</td>
    </tr>
    <tr>
      <td>[109] rapportools_1.2</td>
      <td>Formula_1.2-5</td>
      <td>patchwork_1.3.2</td>
    </tr>
    <tr>
      <td>[112] Rcpp_1.1.0</td>
      <td>viridis_0.6.5</td>
      <td>ucminf_1.2.2</td>
    </tr>
    <tr>
      <td>[115] furrr_0.3.1</td>
      <td>stringi_1.8.7</td>
      <td>MASS_7.3-65</td>
    </tr>
    <tr>
      <td>[118] plyr_1.8.9</td>
      <td>parallel_4.5.2</td>
      <td>listenv_0.10.0</td>
    </tr>
    <tr>
      <td>[121] ggrepel_0.9.6</td>
      <td>sjmisc_2.8.11</td>
      <td>graphlAYOUTS_1.2.2</td>
    </tr>
    <tr>
      <td>[124] ggeffects_2.3.1</td>
      <td>splines_4.5.2</td>
      <td>pander_0.6.6</td>
    </tr>
    <tr>
      <td>[127] hms_1.1.4</td>
      <td>igraph_2.2.1</td>
      <td> markdown_2.0</td>
    </tr>
    <tr>
      <td>[130] reshape2_1.4.5</td>
      <td>rstantools_2.5.0</td>
      <td>evaluate_1.0.5</td>
    </tr>
    <tr>
      <td>[133] RcppParallel_5.1.11-1</td>
      <td>tweenr_2.0.3</td>
      <td>nloptr_2.2.1</td>
    </tr>
    <tr>
      <td>[136] tzdb_0.5.0</td>
      <td>selectr_0.5-0</td>
      <td>cards_0.7.0</td>
    </tr>
    <tr>
      <td>[139] polyclip_1.10-7</td>
      <td>future_1.68.0</td>
      <td>ggforce_0.5.0</td>
    </tr>
    <tr>
      <td>[142] gap datasets_0.0.6</td>
      <td>xtable_1.8-4</td>
      <td>viridisLite_0.4.2</td>
    </tr>
    <tr>
      <td>[145] nsyllable_1.0.1</td>
      <td>readMDTable_0.3.2</td>
      <td>memoise_2.0.1</td>
    </tr>
    <tr>
      <td>[148] cluster_2.1.8.1</td>
      <td>timechange_0.3.0</td>
      <td>globals_0.18.0</td>
    </tr>
  </tbody>
</table>
# Part IV

## Data reduction techniques and machine learning
<figure><img src="image_220.png" /></figure>
# Chapter 7

## Reducing Dimensionality:
Correlations, Principal
Component Analysis,
cluster analysis and
Multidimensional scaling

In this chapter, we will look at how to reduce dimensionality of our dataset. This is particularly important when you have a large number of predictors and you want to reduce the number of predictors to a smaller set.

When you have multiple predictors (numeric or categorical) that are related to the outcome, you will need a way to assess whether all the predictors are needed. One solution is to use a Generalised Linear Model with all predictors added to the model. This technique, while easy to implement has several drawbacks. We'll see this in more details next week, but usually, when two predictors (or more!) are correlated to various levels, they will cancel each other, and we cannot be sure of how to interpret the results.

We'll use the correlation plots again to verify the correlation level of our predictors and then employ Principal Component Analysis to first reduce dimensionality and then for clustering of outcomes. We then use an alternative approach, a non-supervised cluster analysis and Multidimensional Scaling that allows us to look at our predictors in relation to the outcome. We'll examine how these approaches can help us tackle issues of multicollinearity and of reducing dimensionality.
## 9 G_09 Guttural 28.4 25.5 12.5 15.1 -3.33 -1.59 3.80 25.6
## 10 G_10 Guttural 28.2 15.8 14.7 16.3 -0.0528 0.108 3.50 22.5
## # i 392 more rows
## # i 15 more variables: H42Kc <db1>, HNR05 <db1>, HNR15 <db1>, HNR25 <db1>,
## # HNR35 <db1>, SHR <db1>, soe <db1>, Z1mnZ0 <db1>, Z2mnZ1 <db1>,
## # Z3mnZ2 <db1>, Z4mnZ3 <db1>, F0Bark <db1>, A1mnA2 <db1>, A1mnA3 <db1>,
## # A2mnA3 <db1>

dfPharV2 <- dfPharV2 %>%
  mutate(context = factor(context, levels = c("Non-Guttural", "Guttural")))
dfPharV2

## # A tibble: 402 x 25
## contextN context CPP Energy H1A1c H1A2c H1A3c H1H2c H2H4c H2KH5Kc
## <chr> <fct> <db1> <db1> <db1> <db1> <db1> <db1> <db1> <db1>
## 1 G_01 Guttural 23.5 22.8 15.2 16.0 -3.30 -1.18 2.65 23.2
## 2 G_02 Guttural 25.7 22.8 13.2 11.6 -5.92 -0.739 1.65 16.5
## 3 G_03 Guttural 19.6 9.16 16.5 18.5 0.604 -0.928 4.50 18.5
## 4 G_04 Guttural 23.6 17.2 16.0 20.1 -7.63 0.782 2.42 28.2
## 5 G_05 Guttural 26.0 15.6 14.5 14.6 -6.73 0.0442 3.13 27.6
## 6 G_06 Guttural 24.5 14.4 16.6 16.6 -5.46 1.34 4.51 21.6
## 7 G_07 Guttural 23.1 18.6 15.0 15.8 -5.94 -0.211 2.11 26.3
## 8 G_08 Guttural 22.2 9.04 17.1 18.4 2.10 -0.742 3.41 19.1
## 9 G_09 Guttural 28.4 25.5 12.5 15.1 -3.33 -1.59 3.80 25.6
## 10 G_10 Guttural 28.2 15.8 14.7 16.3 -0.0528 0.108 3.50 22.5
## # i 392 more rows
## # i 15 more variables: H42Kc <db1>, HNR05 <db1>, HNR15 <db1>, HNR25 <db1>,
## # HNR35 <db1>, SHR <db1>, soe <db1>, Z1mnZ0 <db1>, Z2mnZ1 <db1>,
## # Z3mnZ2 <db1>, Z4mnZ3 <db1>, F0Bark <db1>, A1mnA2 <db1>, A1mnA3 <db1>,
## # A2mnA3 <db1>

## 7.3 Correlation tests

Above, we did a correlation test on two predictors. What if we want to obtain
a nice plot of all numeric predictors and add significance levels? We use the
package corrplot

### 7.3.1 Correlation plots

#### 7.3.1.1 Correlation plots 1

corr <-
dfPharV2 %>%
  select(where(is.numeric)) %>%
  cor() %>%
  print()
<table><thead><tr><th>##</th><th>CPP</th><th>Energy</th><th>H1A1c</th><th>H1A2c</th><th>H1A3c</th></tr></thead><tbody><tr><td>## CPP</td><td>1.000000000</td><td>-0.03399038</td><td>0.404706765</td><td>-0.26455286</td><td>-0.113482532</td></tr><tr><td>## Energy</td><td>-0.033990377</td><td>1.00000000</td><td>-0.186476670</td><td>0.09170318</td><td>-0.122377040</td></tr><tr><td>## H1A1c</td><td>0.404706765</td><td>-0.18647667</td><td>1.000000000</td><td>0.05465872</td><td>0.007167585</td></tr><tr><td>## H1A2c</td><td>-0.264552856</td><td>0.09170318</td><td>0.054658717</td><td>1.00000000</td><td>-0.233216979</td></tr><tr><td>## H1A3c</td><td>-0.113482532</td><td>-0.12237704</td><td>0.007167585</td><td>-0.23321698</td><td>1.000000000</td></tr><tr><td>## H1H2c</td><td>0.251810189</td><td>-0.44444137</td><td>0.648990000</td><td>0.11615684</td><td>-0.164917390</td></tr><tr><td>## H2H4c</td><td>-0.005458994</td><td>0.20371885</td><td>-0.220955156</td><td>0.04292950</td><td>0.210063534</td></tr><tr><td>## H2KH5Kc</td><td>-0.336168212</td><td>-0.12504346</td><td>-0.431991841</td><td>0.51057160</td><td>-0.334656923</td></tr><tr><td>## H42Kc</td><td>0.019225753</td><td>0.19493845</td><td>-0.090631471</td><td>-0.59694938</td><td>0.514544301</td></tr><tr><td>## HNR05</td><td>0.666184301</td><td>-0.37052021</td><td>0.758327365</td><td>-0.06157287</td><td>-0.108056123</td></tr><tr><td>## HNR15</td><td>0.603409742</td><td>-0.67352331</td><td>0.433216471</td><td>-0.30096436</td><td>-0.075490785</td></tr><tr><td>## HNR25</td><td>0.504781686</td><td>-0.65091028</td><td>0.451043577</td><td>-0.06083878</td><td>-0.231125560</td></tr><tr><td>## HNR35</td><td>0.453677497</td><td>-0.63296467</td><td>0.470614004</td><td>0.05539693</td><td>-0.216734533</td></tr><tr><td>## SHR</td><td>-0.284829618</td><td>0.38017553</td><td>-0.395846797</td><td>0.25865972</td><td>0.209623680</td></tr><tr><td>## soe</td><td>0.386759609</td><td>-0.52487995</td><td>0.609437744</td><td>-0.11463910</td><td>-0.153217238</td></tr><tr><td>## Z1mnZ0</td><td>0.014248500</td><td>0.67114927</td><td>0.213674458</td><td>0.33815761</td><td>0.109502228</td></tr><tr><td>## Z2mnZ1</td><td>0.121821865</td><td>-0.28394211</td><td>-0.197144132</td><td>-0.84586885</td><td>0.307462932</td></tr><tr><td>## Z3mnZ2</td><td>-0.236018438</td><td>0.11604624</td><td>-0.014226757</td><td>0.84163102</td><td>-0.496911115</td></tr><tr><td>## Z4mnZ3</td><td>-0.009359468</td><td>-0.06257675</td><td>0.173172293</td><td>0.07552205</td><td>0.630948791</td></tr><tr><td>## F0Bark</td><td>0.417866035</td><td>-0.46400144</td><td>0.742753093</td><td>-0.06972759</td><td>-0.162186194</td></tr><tr><td>## A1mnA2</td><td>-0.462940266</td><td>0.18810560</td><td>-0.552669620</td><td>0.80194637</td><td>-0.198942082</td></tr><tr><td>## A1mnA3</td><td>-0.355892004</td><td>0.03344952</td><td>-0.664469548</td><td>-0.21090543</td><td>0.742533502</td></tr><tr><td>## A2mnA3</td><td>0.122501972</td><td>-0.13362699</td><td>-0.034489484</td><td>-0.83635261</td><td>0.728126945</td></tr><tr><td>##</td><td>H1H2c</td><td>H2H4c</td><td>H2KH5Kc</td><td>H42Kc</td><td>HNR05</td></tr><tr><td>## CPP</td><td>0.25181019</td><td>-0.005458994</td><td>-0.33616821</td><td>0.01922575</td><td>0.66618430</td></tr><tr><td>## Energy</td><td>-0.44444137</td><td>0.203718846</td><td>-0.12504346</td><td>0.19493845</td><td>-0.37052021</td></tr><tr><td>## H1A1c</td><td>0.64899000</td><td>-0.220955156</td><td>-0.43199184</td><td>-0.09063147</td><td>0.75832736</td></tr><tr><td>## H1A2c</td><td>0.11615684</td><td>0.042929498</td><td>0.51057160</td><td>-0.59694938</td><td>-0.06157287</td></tr><tr><td>## H1A3c</td><td>-0.16491739</td><td>0.210063534</td><td>-0.33465692</td><td>0.51454430</td><td>-0.10805612</td></tr><tr><td>## H1H2c</td><td>1.00000000</td><td>-0.713751116</td><td>-0.07796057</td><td>-0.41916885</td><td>0.77141984</td></tr><tr><td>## H2H4c</td><td>-0.71375112</td><td>1.000000000</td><td>-0.09596636</td><td>0.16166922</td><td>-0.36847378</td></tr><tr><td>## H2KH5Kc</td><td>-0.07796057</td><td>-0.095966364</td><td>1.00000000</td><td>-0.68312931</td><td>-0.29753363</td></tr><tr><td>## H42Kc</td><td>-0.41916885</td><td>0.161669220</td><td>-0.68312931</td><td>1.00000000</td><td>-0.26285288</td></tr><tr><td>## HNR05</td><td>0.77141984</td><td>-0.368473783</td><td>-0.29753363</td><td>-0.26285288</td><td>1.00000000</td></tr><tr><td>## HNR15</td><td>0.65474601</td><td>-0.344119338</td><td>-0.11535020</td><td>-0.22732173</td><td>0.81480902</td></tr><tr><td>## HNR25</td><td>0.74616221</td><td>-0.451131758</td><td>0.10665010</td><td>-0.48042235</td><td>0.82316561</td></tr><tr><td>## HNR35</td><td>0.77808181</td><td>-0.471273417</td><td>0.15703813</td><td>-0.55230135</td><td>0.82336788</td></tr><tr><td>## SHR</td><td>-0.44306719</td><td>0.283034424</td><td>0.16958475</td><td>0.07533203</td><td>-0.50080260</td></tr><tr><td>## soe</td><td>0.84462374</td><td>-0.497528429</td><td>-0.12742022</td><td>-0.38269875</td><td>0.82808974</td></tr><tr><td>## Z1mnZ0</td><td>-0.25783681</td><td>0.314095793</td><td>-0.35109828</td><td>0.22859438</td><td>-0.10404198</td></tr><tr><td>## Z2mnZ1</td><td>-0.16754562</td><td>0.052215339</td><td>-0.43864642</td><td>0.65068250</td><td>-0.10884383</td></tr><tr><td>## Z3mnZ2</td><td>0.16165571</td><td>-0.150529963</td><td>0.71841244</td><td>-0.80426718</td><td>-0.01280049</td></tr><tr><td>## Z4mnZ3</td><td>0.10977975</td><td>0.003456879</td><td>-0.13027105</td><td>0.06309325</td><td>0.19394214</td></tr><tr><td>## F0Bark</td><td>0.89121654</td><td>-0.522808166</td><td>-0.23993155</td><td>-0.33335794</td><td>0.90374524</td></tr><tr><td>## A1mnA2</td><td>-0.29133499</td><td>0.168027465</td><td>0.68460673</td><td>-0.44401978</td><td>-0.50509144</td></tr></tbody></table>
<table>
  <tbody>
    <tr>
      <td>## A1mnA3</td>
      <td>-0.55795935</td>
      <td>0.304989227</td>
      <td>0.03925946</td>
      <td>0.44524464</td>
      <td>-0.58870128</td>
    </tr>
    <tr>
      <td>## A2mnA3</td>
      <td>-0.17484791</td>
      <td>0.088160327</td>
      <td>-0.54854966</td>
      <td>0.71084573</td>
      <td>-0.01751585</td>
    </tr>
    <tr>
      <td>## HNR15</td>
      <td>HNR25</td>
      <td>HNR35</td>
      <td>SHR</td>
      <td>soe</td>
      <td></td>
    </tr>
    <tr>
      <td>## CPP</td>
      <td>0.60340974</td>
      <td>0.504781686</td>
      <td>0.45367750</td>
      <td>-0.28482962</td>
      <td>0.386759609</td>
    </tr>
    <tr>
      <td>## Energy</td>
      <td>-0.67352331</td>
      <td>-0.650910279</td>
      <td>-0.63296467</td>
      <td>0.38017553</td>
      <td>-0.524879953</td>
    </tr>
    <tr>
      <td>## H1A1c</td>
      <td>0.43321647</td>
      <td>0.451043577</td>
      <td>0.47061400</td>
      <td>-0.39584680</td>
      <td>0.609437744</td>
    </tr>
    <tr>
      <td>## H1A2c</td>
      <td>-0.30096436</td>
      <td>-0.060838775</td>
      <td>0.05539693</td>
      <td>0.25865972</td>
      <td>-0.114639103</td>
    </tr>
    <tr>
      <td>## H1A3c</td>
      <td>-0.07549078</td>
      <td>-0.231125560</td>
      <td>-0.21673453</td>
      <td>0.20962368</td>
      <td>-0.153217238</td>
    </tr>
    <tr>
      <td>## H1H2c</td>
      <td>0.65474601</td>
      <td>0.746162213</td>
      <td>0.77808181</td>
      <td>-0.44306719</td>
      <td>0.844623735</td>
    </tr>
    <tr>
      <td>## H2H4c</td>
      <td>-0.34411934</td>
      <td>-0.451131758</td>
      <td>-0.47127342</td>
      <td>0.28303442</td>
      <td>-0.497528429</td>
    </tr>
    <tr>
      <td>## H2KH5Kc</td>
      <td>-0.11535020</td>
      <td>0.106650103</td>
      <td>0.15703813</td>
      <td>0.16958475</td>
      <td>-0.127420222</td>
    </tr>
    <tr>
      <td>## H42Kc</td>
      <td>-0.22732173</td>
      <td>-0.480422351</td>
      <td>-0.55230135</td>
      <td>0.07533203</td>
      <td>-0.382698752</td>
    </tr>
    <tr>
      <td>## HNR05</td>
      <td>0.81480902</td>
      <td>0.823165610</td>
      <td>0.82336788</td>
      <td>-0.50080260</td>
      <td>0.828089735</td>
    </tr>
    <tr>
      <td>## HNR15</td>
      <td>1.00000000</td>
      <td>0.938770768</td>
      <td>0.88727082</td>
      <td>-0.55580661</td>
      <td>0.792886846</td>
    </tr>
    <tr>
      <td>## HNR25</td>
      <td>0.93877077</td>
      <td>1.000000000</td>
      <td>0.98644454</td>
      <td>-0.52810263</td>
      <td>0.837725385</td>
    </tr>
    <tr>
      <td>## HNR35</td>
      <td>0.88727082</td>
      <td>0.986444536</td>
      <td>1.00000000</td>
      <td>-0.49891921</td>
      <td>0.839675263</td>
    </tr>
    <tr>
      <td>## SHR</td>
      <td>-0.55580661</td>
      <td>-0.528102632</td>
      <td>-0.49891921</td>
      <td>1.00000000</td>
      <td>-0.555384532</td>
    </tr>
    <tr>
      <td>## soe</td>
      <td>0.79288685</td>
      <td>0.837725385</td>
      <td>0.83967526</td>
      <td>-0.55538453</td>
      <td>1.000000000</td>
    </tr>
    <tr>
      <td>## Z1mnZ0</td>
      <td>-0.59593537</td>
      <td>-0.589202134</td>
      <td>-0.53287118</td>
      <td>0.35389648</td>
      <td>-0.403168468</td>
    </tr>
    <tr>
      <td>## Z2mnZ1</td>
      <td>0.28433812</td>
      <td>0.009867765</td>
      <td>-0.11639529</td>
      <td>-0.18153788</td>
      <td>-0.004677426</td>
    </tr>
    <tr>
      <td>## Z3mnZ2</td>
      <td>-0.20572721</td>
      <td>0.109264859</td>
      <td>0.21831675</td>
      <td>0.13689371</td>
      <td>0.007849427</td>
    </tr>
    <tr>
      <td>## Z4mnZ3</td>
      <td>0.04324078</td>
      <td>0.035922107</td>
      <td>0.11146279</td>
      <td>0.08718854</td>
      <td>0.117966357</td>
    </tr>
    <tr>
      <td>## F0Bark</td>
      <td>0.76082881</td>
      <td>0.812555958</td>
      <td>0.82810219</td>
      <td>-0.58077659</td>
      <td>0.934247247</td>
    </tr>
    <tr>
      <td>## A1mnA2</td>
      <td>-0.51038750</td>
      <td>-0.320632658</td>
      <td>-0.23532567</td>
      <td>0.45272098</td>
      <td>-0.460304226</td>
    </tr>
    <tr>
      <td>## A1mnA3</td>
      <td>-0.34659555</td>
      <td>-0.474847635</td>
      <td>-0.47720189</td>
      <td>0.42180815</td>
      <td>-0.522721261</td>
    </tr>
    <tr>
      <td>## A2mnA3</td>
      <td>0.16958474</td>
      <td>-0.087411661</td>
      <td>-0.16123104</td>
      <td>-0.06414896</td>
      <td>-0.005568759</td>
    </tr>
    <tr>
      <td>## Z1mnZ0</td>
      <td>0.121821865</td>
      <td>0.121821865</td>
      <td>0.236018438</td>
      <td>-0.009359468</td>
      <td>0.41786604</td>
    </tr>
    <tr>
      <td>## CPP</td>
      <td>0.01424850</td>
      <td>0.121821865</td>
      <td>0.236018438</td>
      <td>-0.009359468</td>
      <td>0.41786604</td>
    </tr>
    <tr>
      <td>## Energy</td>
      <td>0.67114927</td>
      <td>-0.283942110</td>
      <td>0.116046236</td>
      <td>-0.062576748</td>
      <td>-0.46400144</td>
    </tr>
    <tr>
      <td>## H1A1c</td>
      <td>0.21367446</td>
      <td>-0.197144132</td>
      <td>-0.014226757</td>
      <td>0.173172293</td>
      <td>0.74275309</td>
    </tr>
    <tr>
      <td>## H1A2c</td>
      <td>0.33815761</td>
      <td>-0.845868849</td>
      <td>0.841631017</td>
      <td>0.075522047</td>
      <td>-0.06972759</td>
    </tr>
    <tr>
      <td>## H1A3c</td>
      <td>0.10950223</td>
      <td>0.307462932</td>
      <td>-0.496911115</td>
      <td>0.630948791</td>
      <td>-0.16218619</td>
    </tr>
    <tr>
      <td>## H1H2c</td>
      <td>-0.25783681</td>
      <td>-0.167545617</td>
      <td>0.161655712</td>
      <td>0.109779752</td>
      <td>0.89121654</td>
    </tr>
    <tr>
      <td>## H2H4c</td>
      <td>0.31409579</td>
      <td>0.052215339</td>
      <td>-0.150529963</td>
      <td>0.003456879</td>
      <td>-0.52280817</td>
    </tr>
    <tr>
      <td>## H2KH5Kc</td>
      <td>-0.35109828</td>
      <td>-0.438646418</td>
      <td>0.718412444</td>
      <td>-0.130271054</td>
      <td>-0.23993155</td>
    </tr>
    <tr>
      <td>## H42Kc</td>
      <td>0.22859438</td>
      <td>0.650682503</td>
      <td>-0.804267177</td>
      <td>0.063093254</td>
      <td>-0.33335794</td>
    </tr>
    <tr>
      <td>## HNR05</td>
      <td>-0.10404198</td>
      <td>-0.108843828</td>
      <td>-0.012800492</td>
      <td>0.193942142</td>
      <td>0.90374524</td>
    </tr>
    <tr>
      <td>## HNR15</td>
      <td>-0.59593537</td>
      <td>0.284338125</td>
      <td>-0.205727207</td>
      <td>0.043240778</td>
      <td>0.76082881</td>
    </tr>
    <tr>
      <td>## HNR25</td>
      <td>-0.58920213</td>
      <td>0.009867765</td>
      <td>0.109264859</td>
      <td>0.035922107</td>
      <td>0.81255596</td>
    </tr>
    <tr>
      <td>## HNR35</td>
      <td>-0.53287118</td>
      <td>-0.116395288</td>
      <td>0.218316751</td>
      <td>0.111462787</td>
      <td>0.82810219</td>
    </tr>
    <tr>
      <td>## SHR</td>
      <td>0.35389648</td>
      <td>-0.181537883</td>
      <td>0.136893713</td>
      <td>0.087188543</td>
      <td>-0.58077659</td>
    </tr>
    <tr>
      <td>## soe</td>
      <td>-0.40316847</td>
      <td>-0.004677426</td>
      <td>0.007849427</td>
      <td>0.117966357</td>
      <td>0.93424725</td>
    </tr>
    <tr>
      <td>## Z1mnZ0</td>
      <td>1.00000000</td>
      <td>-0.479471463</td>
      <td>0.132402681</td>
      <td>0.143899368</td>
      <td>-0.25634372</td>
    </tr>
    <tr>
      <td>## Z2mnZ1</td>
      <td>-0.47947146</td>
      <td>1.000000000</td>
      <td>-0.901393170</td>
      <td>-0.176529973</td>
      <td>-0.08020731</td>
    </tr>
    <tr>
      <td>## Z3mnZ2</td>
      <td>0.13240268</td>
      <td>-0.901393170</td>
      <td>1.000000000</td>
      <td>-0.050618065</td>
      <td>0.01898548</td>
    </tr>
    <tr>
      <td>## Z4mnZ3</td>
      <td>0.14389937</td>
      <td>-0.176529973</td>
      <td>-0.050618065</td>
      <td>1.000000000</td>
      <td>0.15981826</td>
    </tr>
  </tbody>
</table>
<table><tbody><tr><td>F0Bark</td><td>-0.25634372</td><td>-0.080207311</td><td>0.018985484</td><td>0.159818261</td><td>1.00000000</td></tr><tr><td>A1mnA2</td><td>0.15440193</td><td>-0.588053094</td><td>0.710977937</td><td>-0.040573920</td><td>-0.50258069</td></tr><tr><td>A1mnA3</td><td>-0.06129172</td><td>0.361831277</td><td>-0.361830045</td><td>0.355533137</td><td>-0.61872264</td></tr><tr><td>A2mnA3</td><td>-0.17662983</td><td>0.769563482</td><td>-0.873375083</td><td>0.302455298</td><td>-0.04228227</td></tr><tr><td>CPP</td><td>-0.46294027</td><td>-0.35589200</td><td>0.122501972</td><td></td><td></td></tr><tr><td>Energy</td><td>0.18810560</td><td>0.03344952</td><td>-0.133626988</td><td></td><td></td></tr><tr><td>H1A1c</td><td>-0.55266962</td><td>-0.66446955</td><td>-0.034489484</td><td></td><td></td></tr><tr><td>H1A2c</td><td>0.80194637</td><td>-0.21090543</td><td>-0.836352608</td><td></td><td></td></tr><tr><td>H1A3c</td><td>-0.19894208</td><td>0.74253350</td><td>0.728126945</td><td></td><td></td></tr><tr><td>H1H2c</td><td>-0.29133499</td><td>-0.55795935</td><td>-0.174847909</td><td></td><td></td></tr><tr><td>H2H4c</td><td>0.16802747</td><td>0.30498923</td><td>0.088160327</td><td></td><td></td></tr><tr><td>H2KH5Kc</td><td>0.68460673</td><td>0.03925946</td><td>-0.548549664</td><td></td><td></td></tr><tr><td>H42Kc</td><td>-0.44401978</td><td>0.44524464</td><td>0.710845732</td><td></td><td></td></tr><tr><td>HNR05</td><td>-0.50509144</td><td>-0.58870128</td><td>-0.017515845</td><td></td><td></td></tr><tr><td>HNR15</td><td>-0.51038750</td><td>-0.34659555</td><td>0.169584736</td><td></td><td></td></tr><tr><td>HNR25</td><td>-0.32063266</td><td>-0.47484763</td><td>-0.087411661</td><td></td><td></td></tr><tr><td>HNR35</td><td>-0.23532567</td><td>-0.47720189</td><td>-0.161231042</td><td></td><td></td></tr><tr><td>SHR</td><td>0.45272098</td><td>0.42180815</td><td>-0.064148964</td><td></td><td></td></tr><tr><td>soe</td><td>-0.46030423</td><td>-0.52272126</td><td>-0.005568759</td><td></td><td></td></tr><tr><td>Z1mnZ0</td><td>0.15440193</td><td>-0.06129172</td><td>-0.176629833</td><td></td><td></td></tr><tr><td>Z2mnZ1</td><td>-0.58805309</td><td>0.36183128</td><td>0.769563482</td><td></td><td></td></tr><tr><td>Z3mnZ2</td><td>0.71097794</td><td>-0.36183005</td><td>-0.873375083</td><td></td><td></td></tr><tr><td>Z4mnZ3</td><td>-0.04057392</td><td>0.35553314</td><td>0.302455298</td><td></td><td></td></tr><tr><td>F0Bark</td><td>-0.50258069</td><td>-0.61872264</td><td>-0.042282270</td><td></td><td></td></tr><tr><td>A1mnA2</td><td>1.00000000</td><td>0.22151418</td><td>-0.677425247</td><td></td><td></td></tr><tr><td>A1mnA3</td><td>0.22151418</td><td>1.00000000</td><td>0.567258129</td><td></td><td></td></tr><tr><td>A2mnA3</td><td>-0.67742525</td><td>0.56725813</td><td>1.000000000</td><td></td><td></td></tr></tbody></table>

print Nature)

<table><thead><tr><th></th><th>CPP</th><th>Energy</th><th>H1A1c</th><th>H1A2c</th><th>H1A3c</th></tr></thead><tbody><tr><td>CPP</td><td>1.000000000</td><td>-0.03399038</td><td>0.404706765</td><td>-0.26455286</td><td>-0.113482532</td></tr><tr><td>Energy</td><td>-0.033990377</td><td>1.00000000</td><td>-0.186476670</td><td>0.09170318</td><td>-0.122377040</td></tr><tr><td>H1A1c</td><td>0.404706765</td><td>-0.18647667</td><td>1.000000000</td><td>0.05465872</td><td>0.007167585</td></tr><tr><td>H1A2c</td><td>-0.264552856</td><td>0.09170318</td><td>0.054658717</td><td>1.00000000</td><td>-0.233216979</td></tr><tr><td>H1A3c</td><td>-0.113482532</td><td>-0.12237704</td><td>0.007167585</td><td>-0.23321698</td><td>1.000000000</td></tr><tr><td>H1H2c</td><td>0.251810189</td><td>-0.44444137</td><td>0.648990000</td><td>0.11615684</td><td>-0.164917390</td></tr><tr><td>H2H4c</td><td>-0.005458994</td><td>0.20371885</td><td>-0.220955156</td><td>0.04292950</td><td>0.210063534</td></tr><tr><td>H2KH5Kc</td><td>-0.336168212</td><td>-0.12504346</td><td>-0.431991841</td><td>0.51057160</td><td>-0.334656923</td></tr><tr><td>H42Kc</td><td>0.019225753</td><td>0.19493845</td><td>-0.090631471</td><td>-0.59694938</td><td>0.514544301</td></tr><tr><td>HNR05</td><td>0.666184301</td><td>-0.37052021</td><td>0.758327365</td><td>-0.06157287</td><td>-0.108056123</td></tr><tr><td>HNR15</td><td>0.603409742</td><td>-0.67352331</td><td>0.433216471</td><td>-0.30096436</td><td>-0.075490785</td></tr><tr><td>HNR25</td><td>0.504781686</td><td>-0.65091028</td><td>0.451043577</td><td>-0.06083878</td><td>-0.231125560</td></tr><tr><td>HNR35</td><td>0.453677497</td><td>-0.63296467</td><td>0.470614004</td><td>0.05539693</td><td>-0.216734533</td></tr><tr><td>SHR</td><td>-0.284829618</td><td>0.38017553</td><td>-0.395846797</td><td>0.25865972</td><td>0.209623680</td></tr></tbody></table>
<table>
  <tbody>
    <tr>
      <td>soe</td>
      <td>0.386759609</td>
      <td>-0.52487995</td>
      <td>0.609437744</td>
      <td>-0.11463910</td>
      <td>-0.153217238</td>
    </tr>
    <tr>
      <td>Z1mnZ0</td>
      <td>0.014248500</td>
      <td>0.67114927</td>
      <td>0.213674458</td>
      <td>0.33815761</td>
      <td>0.109502228</td>
    </tr>
    <tr>
      <td>Z2mnZ1</td>
      <td>0.121821865</td>
      <td>-0.28394211</td>
      <td>-0.197144132</td>
      <td>-0.84586885</td>
      <td>0.307462932</td>
    </tr>
    <tr>
      <td>Z3mnZ2</td>
      <td>-0.236018438</td>
      <td>0.11604624</td>
      <td>-0.014226757</td>
      <td>0.84163102</td>
      <td>-0.496911115</td>
    </tr>
    <tr>
      <td>Z4mnZ3</td>
      <td>-0.009359468</td>
      <td>-0.06257675</td>
      <td>0.173172293</td>
      <td>0.07552205</td>
      <td>0.630948791</td>
    </tr>
    <tr>
      <td>F0Bark</td>
      <td>0.417866035</td>
      <td>-0.46400144</td>
      <td>0.742753093</td>
      <td>-0.06972759</td>
      <td>-0.162186194</td>
    </tr>
    <tr>
      <td>A1mnA2</td>
      <td>-0.462940266</td>
      <td>0.18810560</td>
      <td>-0.552669620</td>
      <td>0.80194637</td>
      <td>-0.198942082</td>
    </tr>
    <tr>
      <td>A1mnA3</td>
      <td>-0.355892004</td>
      <td>0.03344952</td>
      <td>-0.664469548</td>
      <td>-0.21090543</td>
      <td>0.742533502</td>
    </tr>
    <tr>
      <td>A2mnA3</td>
      <td>0.122501972</td>
      <td>-0.13362699</td>
      <td>-0.034489484</td>
      <td>-0.83635261</td>
      <td>0.728126945</td>
    </tr>
    <tr>
      <td>H1H2c</td>
      <td></td>
      <td></td>
      <td>H2H4c</td>
      <td></td>
      <td>H42Kc</td>
      <td></td>
      <td>HNR05</td>
    </tr>
    <tr>
      <td>CPP</td>
      <td>0.25181019</td>
      <td>-0.005458994</td>
      <td>-0.33616821</td>
      <td>0.01922575</td>
      <td>0.66618430</td>
    </tr>
    <tr>
      <td>Energy</td>
      <td>-0.44444137</td>
      <td>0.203718846</td>
      <td>-0.12504346</td>
      <td>0.19493845</td>
      <td>-0.37052021</td>
    </tr>
    <tr>
      <td>H1A1c</td>
      <td>0.648990000</td>
      <td>-0.220955156</td>
      <td>-0.43199184</td>
      <td>-0.09063147</td>
      <td>0.75832736</td>
    </tr>
    <tr>
      <td>H1A2c</td>
      <td>0.11615684</td>
      <td>0.042929498</td>
      <td>0.51057160</td>
      <td>-0.59694938</td>
      <td>-0.06157287</td>
    </tr>
    <tr>
      <td>H1A3c</td>
      <td>-0.16491739</td>
      <td>0.210063534</td>
      <td>-0.33465692</td>
      <td>0.51454430</td>
      <td>-0.10805612</td>
    </tr>
    <tr>
      <td>H1H2c</td>
      <td>1.000000000</td>
      <td>-0.713751116</td>
      <td>-0.07796057</td>
      <td>-0.41916885</td>
      <td>0.77141984</td>
    </tr>
    <tr>
      <td>H2H4c</td>
      <td>-0.71375112</td>
      <td>1.000000000</td>
      <td>-0.09596636</td>
      <td>0.16166922</td>
      <td>-0.36847378</td>
    </tr>
    <tr>
      <td>H2KH5Kc</td>
      <td>-0.07796057</td>
      <td>-0.095966364</td>
      <td>1.000000000</td>
      <td>-0.68312931</td>
      <td>-0.29753363</td>
    </tr>
    <tr>
      <td>H42Kc</td>
      <td>-0.41916885</td>
      <td>0.161669220</td>
      <td>-0.68312931</td>
      <td>1.000000000</td>
      <td>-0.26285288</td>
    </tr>
    <tr>
      <td>HNR05</td>
      <td>0.77141984</td>
      <td>-0.368473783</td>
      <td>-0.29753363</td>
      <td>-0.26285288</td>
      <td>1.000000000</td>
    </tr>
    <tr>
      <td>HNR15</td>
      <td>0.65474601</td>
      <td>-0.344119338</td>
      <td>-0.11535020</td>
      <td>-0.22732173</td>
      <td>0.81480902</td>
    </tr>
    <tr>
      <td>HNR25</td>
      <td>0.74616221</td>
      <td>-0.451131758</td>
      <td>0.10665010</td>
      <td>-0.48042235</td>
      <td>0.82316561</td>
    </tr>
    <tr>
      <td>HNR35</td>
      <td>0.77808181</td>
      <td>-0.471273417</td>
      <td>0.15703813</td>
      <td>-0.55230135</td>
      <td>0.82336788</td>
    </tr>
    <tr>
      <td>SHR</td>
      <td>-0.44306719</td>
      <td>0.283034424</td>
      <td>0.16958475</td>
      <td>0.07533203</td>
      <td>-0.50080260</td>
    </tr>
    <tr>
      <td>soe</td>
      <td>0.84462374</td>
      <td>-0.497528429</td>
      <td>-0.12742022</td>
      <td>-0.38269875</td>
      <td>0.82808974</td>
    </tr>
    <tr>
      <td>Z1mnZ0</td>
      <td>-0.25783681</td>
      <td>0.314095793</td>
      <td>-0.35109828</td>
      <td>0.22859438</td>
      <td>-0.10404198</td>
    </tr>
    <tr>
      <td>Z2mnZ1</td>
      <td>-0.16754562</td>
      <td>0.052215339</td>
      <td>-0.43864642</td>
      <td>0.65068250</td>
      <td>-0.10884383</td>
    </tr>
    <tr>
      <td>Z3mnZ2</td>
      <td>0.16165571</td>
      <td>-0.150529963</td>
      <td>0.71841244</td>
      <td>-0.80426718</td>
      <td>-0.01280049</td>
    </tr>
    <tr>
      <td>Z4mnZ3</td>
      <td>0.10977975</td>
      <td>0.003456879</td>
      <td>-0.13027105</td>
      <td>0.06309325</td>
      <td>0.19394214</td>
    </tr>
    <tr>
      <td>F0Bark</td>
      <td>0.89121654</td>
      <td>-0.522808166</td>
      <td>-0.23993155</td>
      <td>-0.33335794</td>
      <td>0.90374524</td>
    </tr>
    <tr>
      <td>A1mnA2</td>
      <td>-0.29133499</td>
      <td>0.168027465</td>
      <td>0.68460673</td>
      <td>-0.44401978</td>
      <td>-0.50509144</td>
    </tr>
    <tr>
      <td>A1mnA3</td>
      <td>-0.55795935</td>
      <td>0.304989227</td>
      <td>0.03925946</td>
      <td>0.44524464</td>
      <td>-0.58870128</td>
    </tr>
    <tr>
      <td>A2mnA3</td>
      <td>-0.17484791</td>
      <td>0.088160327</td>
      <td>-0.54854966</td>
      <td>0.71084573</td>
      <td>-0.01751585</td>
    </tr>
    <tr>
      <td>HNR15</td>
      <td></td>
      <td></td>
      <td>HNR25</td>
      <td></td>
      <td>HNR35</td>
      <td></td>
      <td>SHR</td>
      <td>soe</td>
    </tr>
    <tr>
      <td>CPP</td>
      <td>0.60340974</td>
      <td>0.504781686</td>
      <td>0.45367750</td>
      <td>-0.28482962</td>
      <td>0.386759609</td>
    </tr>
    <tr>
      <td>Energy</td>
      <td>-0.67352331</td>
      <td>-0.650910279</td>
      <td>-0.63296467</td>
      <td>0.38017553</td>
      <td>-0.524879953</td>
    </tr>
    <tr>
      <td>H1A1c</td>
      <td>0.43321647</td>
      <td>0.451043577</td>
      <td>0.47061400</td>
      <td>-0.39584680</td>
      <td>0.609437744</td>
    </tr>
    <tr>
      <td>H1A2c</td>
      <td>-0.30096436</td>
      <td>-0.060838775</td>
      <td>0.05539693</td>
      <td>0.25865972</td>
      <td>-0.114639103</td>
    </tr>
    <tr>
      <td>H1A3c</td>
      <td>-0.07549078</td>
      <td>-0.231125560</td>
      <td>-0.21673453</td>
      <td>0.20962368</td>
      <td>-0.153217238</td>
    </tr>
    <tr>
      <td>H1H2c</td>
      <td>0.65474601</td>
      <td>0.746162213</td>
      <td>0.77808181</td>
      <td>-0.44306719</td>
      <td>0.844623735</td>
    </tr>
    <tr>
      <td>H2H4c</td>
      <td>-0.34411934</td>
      <td>-0.451131758</td>
      <td>-0.47127342</td>
      <td>0.28303442</td>
      <td>-0.497528429</td>
    </tr>
    <tr>
      <td>H2KH5Kc</td>
      <td>-0.11535020</td>
      <td>0.106650103</td>
      <td>0.15703813</td>
      <td>0.16958475</td>
      <td>-0.127420222</td>
    </tr>
    <tr>
      <td>H42Kc</td>
      <td>-0.22732173</td>
      <td>-0.480422351</td>
      <td>-0.55230135</td>
      <td>0.07533203</td>
      <td>-0.382698752</td>
    </tr>
    <tr>
      <td>HNR05</td>
      <td>0.81480902</td>
      <td>0.823165610</td>
      <td>0.82336788</td>
      <td>-0.50080260</td>
      <td>0.828089735</td>
    </tr>
    <tr>
      <td>HNR15</td>
      <td>1.00000000</td>
      <td>0.938770768</td>
      <td>0.88727082</td>
      <td>-0.55580661</td>
      <td>0.792886846</td>
    </tr>
    <tr>
      <td>HNR25</td>
      <td>0.93877077</td>
      <td>1.000000000</td>
      <td>0.98644454</td>
      <td>-0.52810263</td>
      <td>0.837725385</td>
    </tr>
  </tbody>
</table>
<table>
  <tbody>
    <tr>
      <td>## HNR35</td>
      <td>0.88727082</td>
      <td>0.986444536</td>
      <td>1.00000000</td>
      <td>-0.49891921</td>
      <td>0.839675263</td>
    </tr>
    <tr>
      <td>## SHR</td>
      <td>-0.55580661</td>
      <td>-0.528102632</td>
      <td>-0.49891921</td>
      <td>1.00000000</td>
      <td>-0.555384532</td>
    </tr>
    <tr>
      <td>## soe</td>
      <td>0.79288685</td>
      <td>0.837725385</td>
      <td>0.83967526</td>
      <td>-0.55538453</td>
      <td>1.000000000</td>
    </tr>
    <tr>
      <td>## Z1mnZ0</td>
      <td>-0.59593537</td>
      <td>-0.589202134</td>
      <td>-0.53287118</td>
      <td>0.35389648</td>
      <td>-0.403168468</td>
    </tr>
    <tr>
      <td>## Z2mnZ1</td>
      <td>0.28433812</td>
      <td>0.009867765</td>
      <td>-0.11639529</td>
      <td>-0.18153788</td>
      <td>-0.004677426</td>
    </tr>
    <tr>
      <td>## Z3mnZ2</td>
      <td>-0.20572721</td>
      <td>0.109264859</td>
      <td>0.21831675</td>
      <td>0.13689371</td>
      <td>0.007849427</td>
    </tr>
    <tr>
      <td>## Z4mnZ3</td>
      <td>0.04324078</td>
      <td>0.035922107</td>
      <td>0.11146279</td>
      <td>0.08718854</td>
      <td>0.117966357</td>
    </tr>
    <tr>
      <td>## F0Bark</td>
      <td>0.76082881</td>
      <td>0.812555958</td>
      <td>0.82810219</td>
      <td>-0.58077659</td>
      <td>0.934247247</td>
    </tr>
    <tr>
      <td>## A1mnA2</td>
      <td>-0.51038750</td>
      <td>-0.320632658</td>
      <td>-0.23532567</td>
      <td>0.45272098</td>
      <td>-0.460304226</td>
    </tr>
    <tr>
      <td>## A1mnA3</td>
      <td>-0.34659555</td>
      <td>-0.474847635</td>
      <td>-0.47720189</td>
      <td>0.42180815</td>
      <td>-0.522721261</td>
    </tr>
    <tr>
      <td>## A2mnA3</td>
      <td>0.16958474</td>
      <td>-0.087411661</td>
      <td>-0.16123104</td>
      <td>-0.06414896</td>
      <td>-0.005568759</td>
    </tr>
    <tr>
      <td>## Z1mnZ0</td>
      <td>0.01424850</td>
      <td>0.121821865</td>
      <td>-0.236018438</td>
      <td>-0.009359468</td>
      <td>0.41786604</td>
    </tr>
    <tr>
      <td>## Energy</td>
      <td>0.67114927</td>
      <td>-0.283942110</td>
      <td>0.116046236</td>
      <td>-0.062576748</td>
      <td>-0.46400144</td>
    </tr>
    <tr>
      <td>## H1A1c</td>
      <td>0.21367446</td>
      <td>-0.197144132</td>
      <td>-0.014226757</td>
      <td>0.173172293</td>
      <td>0.74275309</td>
    </tr>
    <tr>
      <td>## H1A2c</td>
      <td>0.33815761</td>
      <td>-0.845868849</td>
      <td>0.841631017</td>
      <td>0.075522047</td>
      <td>-0.06972759</td>
    </tr>
    <tr>
      <td>## H1A3c</td>
      <td>0.10950223</td>
      <td>0.307462932</td>
      <td>-0.496911115</td>
      <td>0.630948791</td>
      <td>-0.16218619</td>
    </tr>
    <tr>
      <td>## H1H2c</td>
      <td>-0.25783681</td>
      <td>-0.167545617</td>
      <td>0.161655712</td>
      <td>0.109779752</td>
      <td>0.89121654</td>
    </tr>
    <tr>
      <td>## H2H4c</td>
      <td>0.31409579</td>
      <td>0.052215339</td>
      <td>-0.150529963</td>
      <td>0.003456879</td>
      <td>-0.52280817</td>
    </tr>
    <tr>
      <td>## H2KH5Kc</td>
      <td>-0.35109828</td>
      <td>-0.438646418</td>
      <td>0.718412444</td>
      <td>-0.130271054</td>
      <td>-0.23993155</td>
    </tr>
    <tr>
      <td>## H42Kc</td>
      <td>0.22859438</td>
      <td>0.650682503</td>
      <td>-0.804267177</td>
      <td>0.063093254</td>
      <td>-0.33335794</td>
    </tr>
    <tr>
      <td>## HNR05</td>
      <td>-0.10404198</td>
      <td>-0.108843828</td>
      <td>-0.012800492</td>
      <td>0.193942142</td>
      <td>0.90374524</td>
    </tr>
    <tr>
      <td>## HNR15</td>
      <td>-0.59593537</td>
      <td>0.284338125</td>
      <td>-0.205727207</td>
      <td>0.043240778</td>
      <td>0.76082881</td>
    </tr>
    <tr>
      <td>## HNR25</td>
      <td>-0.58920213</td>
      <td>0.009867765</td>
      <td>0.109264859</td>
      <td>0.035922107</td>
      <td>0.81255596</td>
    </tr>
    <tr>
      <td>## HNR35</td>
      <td>-0.53287118</td>
      <td>-0.116395288</td>
      <td>0.218316751</td>
      <td>0.111462787</td>
      <td>0.82810219</td>
    </tr>
    <tr>
      <td>## SHR</td>
      <td>0.35389648</td>
      <td>-0.181537883</td>
      <td>0.136893713</td>
      <td>0.087188543</td>
      <td>-0.58077659</td>
    </tr>
    <tr>
      <td>## soe</td>
      <td>-0.40316847</td>
      <td>-0.004677426</td>
      <td>0.007849427</td>
      <td>0.117966357</td>
      <td>0.93424725</td>
    </tr>
    <tr>
      <td>## Z1mnZ0</td>
      <td>1.00000000</td>
      <td>-0.479471463</td>
      <td>0.132402681</td>
      <td>0.143899368</td>
      <td>-0.25634372</td>
    </tr>
    <tr>
      <td>## Z2mnZ1</td>
      <td>-0.47947146</td>
      <td>1.000000000</td>
      <td>-0.901393170</td>
      <td>-0.176529973</td>
      <td>-0.08020731</td>
    </tr>
    <tr>
      <td>## Z3mnZ2</td>
      <td>0.13240268</td>
      <td>-0.901393170</td>
      <td>1.000000000</td>
      <td>-0.050618065</td>
      <td>0.01898548</td>
    </tr>
    <tr>
      <td>## Z4mnZ3</td>
      <td>0.14389937</td>
      <td>-0.176529973</td>
      <td>-0.050618065</td>
      <td>1.000000000</td>
      <td>0.15981826</td>
    </tr>
    <tr>
      <td>## F0Bark</td>
      <td>-0.25634372</td>
      <td>-0.080207311</td>
      <td>0.018985484</td>
      <td>0.159818261</td>
      <td>1.000000000</td>
    </tr>
    <tr>
      <td>## A1mnA2</td>
      <td>0.15440193</td>
      <td>-0.588053094</td>
      <td>0.710977937</td>
      <td>-0.040573920</td>
      <td>-0.50258069</td>
    </tr>
    <tr>
      <td>## A1mnA3</td>
      <td>-0.06129172</td>
      <td>0.361831277</td>
      <td>-0.361830045</td>
      <td>0.355533137</td>
      <td>-0.61872264</td>
    </tr>
    <tr>
      <td>## A2mnA3</td>
      <td>-0.17662983</td>
      <td>0.769563482</td>
      <td>-0.873375083</td>
      <td>0.302455298</td>
      <td>-0.04228227</td>
    </tr>
    <tr>
      <td>## A1mnA2</td>
      <td>-0.46294027</td>
      <td>-0.35589200</td>
      <td>0.122501972</td>
      <td></td>
      <td></td>
    </tr>
    <tr>
      <td>## Energy</td>
      <td>0.18810560</td>
      <td>0.03344952</td>
      <td>-0.133626988</td>
      <td></td>
      <td></td>
    </tr>
    <tr>
      <td>## H1A1c</td>
      <td>-0.55266962</td>
      <td>-0.66446955</td>
      <td>-0.034489484</td>
      <td></td>
      <td></td>
    </tr>
    <tr>
      <td>## H1A2c</td>
      <td>0.80194637</td>
      <td>-0.21090543</td>
      <td>-0.836352608</td>
      <td></td>
      <td></td>
    </tr>
    <tr>
      <td>## H1A3c</td>
      <td>-0.19894208</td>
      <td>0.74253350</td>
      <td>0.728126945</td>
      <td></td>
      <td></td>
    </tr>
    <tr>
      <td>## H1H2c</td>
      <td>-0.29133499</td>
      <td>-0.55795935</td>
      <td>-0.174847909</td>
      <td></td>
      <td></td>
    </tr>
    <tr>
      <td>## H2H4c</td>
      <td>0.16802747</td>
      <td>0.30498923</td>
      <td>0.088160327</td>
      <td></td>
      <td></td>
    </tr>
    <tr>
      <td>## H2KH5Kc</td>
      <td>0.68460673</td>
      <td>0.03925946</td>
      <td>-0.548549664</td>
      <td></td>
      <td></td>
    </tr>
    <tr>
      <td>## H42Kc</td>
      <td>-0.44401978</td>
      <td>0.44524464</td>
      <td>0.710845732</td>
      <td></td>
      <td></td>
    </tr>
    <tr>
      <td>## HNR05</td>
      <td>-0.50509144</td>
      <td>-0.58870128</td>
      <td>-0.017515845</td>
      <td></td>
      <td></td>
    </tr>
  </tbody>
</table>
<table><tr><td>## HNR15</td><td>-0.51038750</td><td>-0.34659555</td><td>0.169584736</td></tr><tr><td>## HNR25</td><td>-0.32063266</td><td>-0.47484763</td><td>-0.087411661</td></tr><tr><td>## HNR35</td><td>-0.23532567</td><td>-0.47720189</td><td>-0.161231042</td></tr><tr><td>## SHR</td><td>0.45272098</td><td>0.42180815</td><td>-0.064148964</td></tr><tr><td>## soe</td><td>-0.46030423</td><td>-0.52272126</td><td>-0.005568759</td></tr><tr><td>## Z1mnZ0</td><td>0.15440193</td><td>-0.06129172</td><td>-0.176629833</td></tr><tr><td>## Z2mnZ1</td><td>-0.58805309</td><td>0.36183128</td><td>0.769563482</td></tr><tr><td>## Z3mnZ2</td><td>0.71097794</td><td>-0.36183005</td><td>-0.873375083</td></tr><tr><td>## Z4mnZ3</td><td>-0.04057392</td><td>0.35553314</td><td>0.302455298</td></tr><tr><td>## F0Bark</td><td>-0.50258069</td><td>-0.61872264</td><td>-0.042282270</td></tr><tr><td>## A1mnA2</td><td>1.00000000</td><td>0.22151418</td><td>-0.677425247</td></tr><tr><td>## A1mnA3</td><td>0.22151418</td><td>1.00000000</td><td>0.567258129</td></tr><tr><td>## A2mnA3</td><td>-0.67742525</td><td>0.56725813</td><td>1.000000000</td></tr></table>

corrplot Nature, method = 'ellipse', type = 'upper')

<figure><img src="image_221.png" /></figure>
### 7.3.1.2 Correlation plots 2

Let's first compute the correlations between all numeric variables and plot these with the p values

```r
### correlation using "corrplot"
### based on the function 'rcorr' from the 'Hmisc' package
### Need to change dataframe into a matrix
corr <-
  dfPharV2 %>%
  select(where(is.numeric)) %>%
  data.matrix(dfPharV2) %>%
  rcorr(type = "pearson")
print(corr)
```

<table><thead><tr><th></th><th>CPP</th><th>Energy</th><th>H1A1c</th><th>H1A2c</th><th>H1A3c</th><th>H1H2c</th><th>H2H4c</th><th>H2KH5Kc</th><th>H42Kc</th><th>HNR05</th><th>HNR15</th></tr></thead><tbody><tr><td>## CPP</td><td>1.00</td><td>-0.03</td><td>0.40</td><td>-0.26</td><td>-0.11</td><td>0.25</td><td>-0.01</td><td>-0.34</td><td>0.02</td><td>0.67</td><td>0.60</td></tr><tr><td>## Energy</td><td>-0.03</td><td>1.00</td><td>-0.19</td><td>0.09</td><td>-0.12</td><td>-0.44</td><td>0.20</td><td>-0.13</td><td>0.19</td><td>-0.37</td><td>-0.67</td></tr><tr><td>## H1A1c</td><td>0.40</td><td>-0.19</td><td>1.00</td><td>0.05</td><td>0.01</td><td>0.65</td><td>-0.22</td><td>-0.43</td><td>-0.09</td><td>0.76</td><td>0.43</td></tr><tr><td>## H1A2c</td><td>-0.26</td><td>0.09</td><td>0.05</td><td>1.00</td><td>-0.23</td><td>0.12</td><td>0.04</td><td>0.51</td><td>-0.60</td><td>-0.06</td><td>-0.30</td></tr><tr><td>## H1A3c</td><td>-0.11</td><td>-0.12</td><td>0.01</td><td>-0.23</td><td>1.00</td><td>-0.16</td><td>0.21</td><td>-0.33</td><td>0.51</td><td>-0.11</td><td>-0.08</td></tr><tr><td>## H1H2c</td><td>0.25</td><td>-0.44</td><td>0.65</td><td>0.12</td><td>-0.16</td><td>1.00</td><td>-0.71</td><td>-0.08</td><td>-0.42</td><td>0.77</td><td>0.65</td></tr><tr><td>## H2H4c</td><td>-0.01</td><td>0.20</td><td>-0.22</td><td>0.04</td><td>0.21</td><td>-0.71</td><td>1.00</td><td>-0.10</td><td>0.16</td><td>-0.37</td><td>-0.34</td></tr><tr><td>## H2KH5Kc</td><td>-0.34</td><td>-0.13</td><td>-0.43</td><td>0.51</td><td>-0.33</td><td>-0.08</td><td>-0.10</td><td>1.00</td><td>-0.68</td><td>-0.30</td><td>-0.12</td></tr><tr><td>## H42Kc</td><td>0.02</td><td>0.19</td><td>-0.09</td><td>-0.60</td><td>0.51</td><td>-0.42</td><td>0.16</td><td>-0.68</td><td>1.00</td><td>-0.26</td><td>-0.23</td></tr><tr><td>## HNR05</td><td>0.67</td><td>-0.37</td><td>0.76</td><td>-0.06</td><td>-0.11</td><td>0.77</td><td>-0.37</td><td>-0.30</td><td>-0.26</td><td>1.00</td><td>0.81</td></tr><tr><td>## HNR15</td><td>0.60</td><td>-0.67</td><td>0.43</td><td>-0.30</td><td>-0.08</td><td>0.65</td><td>-0.34</td><td>-0.12</td><td>-0.23</td><td>0.81</td><td>1.00</td></tr><tr><td>## HNR25</td><td>0.50</td><td>-0.65</td><td>0.45</td><td>-0.06</td><td>-0.23</td><td>0.75</td><td>-0.45</td><td>0.11</td><td>-0.48</td><td>0.82</td><td>0.94</td></tr><tr><td>## HNR35</td><td>0.45</td><td>-0.63</td><td>0.47</td><td>0.06</td><td>-0.22</td><td>0.78</td><td>-0.47</td><td>0.16</td><td>-0.55</td><td>0.82</td><td>0.89</td></tr><tr><td>## SHR</td><td>-0.28</td><td>0.38</td><td>-0.40</td><td>0.26</td><td>0.21</td><td>-0.44</td><td>0.28</td><td>0.17</td><td>0.08</td><td>-0.50</td><td>-0.56</td></tr><tr><td>## soe</td><td>0.39</td><td>-0.52</td><td>0.61</td><td>-0.11</td><td>-0.15</td><td>0.84</td><td>-0.50</td><td>-0.13</td><td>-0.38</td><td>0.83</td><td>0.79</td></tr><tr><td>## Z1mnZ0</td><td>0.01</td><td>0.67</td><td>0.21</td><td>0.34</td><td>0.11</td><td>-0.26</td><td>0.31</td><td>-0.35</td><td>0.23</td><td>-0.10</td><td>-0.60</td></tr><tr><td>## Z2mnZ1</td><td>0.12</td><td>-0.28</td><td>-0.20</td><td>-0.85</td><td>0.31</td><td>-0.17</td><td>0.05</td><td>-0.44</td><td>0.65</td><td>-0.11</td><td>0.28</td></tr><tr><td>## Z3mnZ2</td><td>-0.24</td><td>0.12</td><td>-0.01</td><td>0.84</td><td>-0.50</td><td>0.16</td><td>-0.15</td><td>0.72</td><td>-0.80</td><td>-0.01</td><td>-0.21</td></tr><tr><td>## Z4mnZ3</td><td>-0.01</td><td>-0.06</td><td>0.17</td><td>0.08</td><td>0.63</td><td>0.11</td><td>0.00</td><td>-0.13</td><td>0.06</td><td>0.19</td><td>0.04</td></tr><tr><td>## F0Bark</td><td>0.42</td><td>-0.46</td><td>0.74</td><td>-0.07</td><td>-0.16</td><td>0.89</td><td>-0.52</td><td>-0.24</td><td>-0.33</td><td>0.90</td><td>0.76</td></tr><tr><td>## A1mnA2</td><td>-0.46</td><td>0.19</td><td>-0.55</td><td>0.80</td><td>-0.20</td><td>-0.29</td><td>0.17</td><td>0.68</td><td>-0.44</td><td>-0.51</td><td>-0.51</td></tr><tr><td>## A1mnA3</td><td>-0.36</td><td>0.03</td><td>-0.66</td><td>-0.21</td><td>0.74</td><td>-0.56</td><td>0.30</td><td>0.04</td><td>0.45</td><td>-0.59</td><td>-0.35</td></tr><tr><td>## A2mnA3</td><td>0.12</td><td>-0.13</td><td>-0.03</td><td>-0.84</td><td>0.73</td><td>-0.17</td><td>0.09</td><td>-0.55</td><td>0.71</td><td>-0.02</td><td>0.17</td></tr><tr><td>## HNR25</td><td>0.50</td><td>0.45</td><td>-0.28</td><td>0.39</td><td>0.01</td><td>0.12</td><td>-0.24</td><td>-0.01</td><td>0.42</td><td>-0.46</td><td></td></tr><tr><td>## CPP</td><td>0.50</td><td>-0.65</td><td>-0.63</td><td>0.38</td><td>-0.52</td><td>0.67</td><td>-0.28</td><td>0.12</td><td>-0.06</td><td>-0.46</td><td>0.19</td></tr><tr><td>## Energy</td><td>0.45</td><td>0.47</td><td>-0.40</td><td>0.61</td><td>0.21</td><td>-0.20</td><td>-0.01</td><td>0.17</td><td>0.74</td><td>-0.55</td><td></td></tr><tr><td>## H1A1c</td><td>0.45</td><td>0.47</td><td>-0.40</td><td>0.61</td><td>0.21</td><td>-0.20</td><td>-0.01</td><td>0.17</td><td>0.74</td><td>-0.55</td><td></td></tr><tr><td>## H1A2c</td><td>-0.06</td><td>0.06</td><td>0.26</td><td>-0.11</td><td>0.34</td><td>-0.85</td><td>0.84</td><td>0.08</td><td>-0.07</td><td>0.80</td><td></td></tr><tr><td>## H1A3c</td><td>-0.23</td><td>-0.22</td><td>0.21</td><td>-0.15</td><td>0.11</td><td>0.31</td><td>-0.50</td><td>0.63</td><td>-0.16</td><td>-0.20</td><td></td></tr><tr><td>## H1H2c</td><td>0.75</td><td>0.78</td><td>-0.44</td><td>0.84</td><td>-0.26</td><td>-0.17</td><td>0.16</td><td>0.11</td><td>0.89</td><td>-0.29</td><td></td></tr><tr><td>## H2H4c</td><td>-0.45</td><td>-0.47</td><td>0.28</td><td>-0.50</td><td>0.31</td><td>0.05</td><td>-0.15</td><td>0.00</td><td>-0.52</td><td>0.17</td><td></td></tr></tbody></table>
7.3. CORRELATION TESTS

<table><tbody><tr><td>H2KH5Kc</td><td>0.11</td><td>0.16</td><td>0.17</td><td>-0.13</td><td>-0.35</td><td>-0.44</td><td>0.72</td><td>-0.13</td><td>-0.24</td><td>0.68</td></tr><tr><td>H42Kc</td><td>-0.48</td><td>-0.55</td><td>0.08</td><td>-0.38</td><td>0.23</td><td>0.65</td><td>-0.80</td><td>0.06</td><td>-0.33</td><td>-0.44</td></tr><tr><td>HNR05</td><td>0.82</td><td>0.82</td><td>-0.50</td><td>0.83</td><td>-0.10</td><td>-0.11</td><td>-0.01</td><td>0.19</td><td>0.90</td><td>-0.51</td></tr><tr><td>HNR15</td><td>0.94</td><td>0.89</td><td>-0.56</td><td>0.79</td><td>-0.60</td><td>0.28</td><td>-0.21</td><td>0.04</td><td>0.76</td><td>-0.51</td></tr><tr><td>HNR25</td><td>1.00</td><td>0.99</td><td>-0.53</td><td>0.84</td><td>-0.59</td><td>0.01</td><td>0.11</td><td>0.04</td><td>0.81</td><td>-0.32</td></tr><tr><td>HNR35</td><td>0.99</td><td>1.00</td><td>-0.50</td><td>0.84</td><td>-0.53</td><td>-0.12</td><td>0.22</td><td>0.11</td><td>0.83</td><td>-0.24</td></tr><tr><td>SHR</td><td>-0.53</td><td>-0.50</td><td>1.00</td><td>-0.56</td><td>0.35</td><td>-0.18</td><td>0.14</td><td>0.09</td><td>-0.58</td><td>0.45</td></tr><tr><td>soe</td><td>0.84</td><td>0.84</td><td>-0.56</td><td>1.00</td><td>-0.40</td><td>0.00</td><td>0.01</td><td>0.12</td><td>0.93</td><td>-0.46</td></tr><tr><td>Z1mnZ0</td><td>-0.59</td><td>-0.53</td><td>0.35</td><td>-0.40</td><td>1.00</td><td>-0.48</td><td>0.13</td><td>0.14</td><td>-0.26</td><td>0.15</td></tr><tr><td>Z2mnZ1</td><td>0.01</td><td>-0.12</td><td>-0.18</td><td>0.00</td><td>-0.48</td><td>1.00</td><td>-0.90</td><td>-0.18</td><td>-0.08</td><td>-0.59</td></tr><tr><td>Z3mnZ2</td><td>0.11</td><td>0.22</td><td>0.14</td><td>0.01</td><td>0.13</td><td>-0.90</td><td>1.00</td><td>-0.05</td><td>0.02</td><td>0.71</td></tr><tr><td>Z4mnZ3</td><td>0.04</td><td>0.11</td><td>0.09</td><td>0.12</td><td>0.14</td><td>-0.18</td><td>-0.05</td><td>1.00</td><td>0.16</td><td>-0.04</td></tr><tr><td>F0Bark</td><td>0.81</td><td>0.83</td><td>-0.58</td><td>0.93</td><td>-0.26</td><td>-0.08</td><td>0.02</td><td>0.16</td><td>1.00</td><td>-0.50</td></tr><tr><td>A1mnA2</td><td>-0.32</td><td>-0.24</td><td>0.45</td><td>-0.46</td><td>0.15</td><td>-0.59</td><td>0.71</td><td>-0.04</td><td>-0.50</td><td>1.00</td></tr><tr><td>A1mnA3</td><td>-0.47</td><td>-0.48</td><td>0.42</td><td>-0.52</td><td>-0.06</td><td>0.36</td><td>-0.36</td><td>0.36</td><td>-0.62</td><td>0.22</td></tr><tr><td>A2mnA3</td><td>-0.09</td><td>-0.16</td><td>-0.06</td><td>-0.01</td><td>-0.18</td><td>0.77</td><td>-0.87</td><td>0.30</td><td>-0.04</td><td>-0.68</td></tr><tr><td>A1mnA3</td><td>-0.36</td><td>0.12</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>CPP</td><td>0.03</td><td>-0.13</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Energy</td><td>-0.66</td><td>-0.03</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H1A1c</td><td>-0.21</td><td>-0.84</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H1A2c</td><td>0.74</td><td>0.73</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H1H2c</td><td>-0.56</td><td>-0.17</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H2H4c</td><td>0.30</td><td>0.09</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H2KH5Kc</td><td>0.04</td><td>-0.55</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H42Kc</td><td>0.45</td><td>0.71</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>HNR05</td><td>-0.59</td><td>-0.02</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>HNR15</td><td>-0.35</td><td>0.17</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>HNR25</td><td>-0.47</td><td>-0.09</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>HNR35</td><td>-0.48</td><td>-0.16</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>SHR</td><td>0.42</td><td>-0.06</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>soe</td><td>-0.52</td><td>-0.01</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Z1mnZ0</td><td>-0.06</td><td>-0.18</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Z2mnZ1</td><td>0.36</td><td>0.77</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Z3mnZ2</td><td>-0.36</td><td>-0.87</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Z4mnZ3</td><td>0.36</td><td>0.30</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>F0Bark</td><td>-0.62</td><td>-0.04</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>A1mnA2</td><td>0.22</td><td>-0.68</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>A1mnA3</td><td>1.00</td><td>0.57</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>A2mnA3</td><td>0.57</td><td>1.00</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>n=</td><td>402</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>P</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>CPP</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Energy</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H1A1c</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H1A2c</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H1A3c</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H1H2c</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H2H4c</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H2KH5Kc</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>H42Kc</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>HNR05</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>HNR15</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>HNR25</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>HNR35</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>SHR</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>soe</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Z1mnZ0</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Z2mnZ1</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Z3mnZ2</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Z4mnZ3</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>F0Bark</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>A1mnA2</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>A1mnA3</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>A2mnA3</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr></tbody></table>
<table>
  <tbody>
    <tr>
      <td>## CPP</td>
      <td>0.4968</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0229</td>
      <td>0.0000</td>
      <td>0.9131</td>
      <td>0.0000</td>
      <td>0.7007</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## Energy</td>
      <td>0.4968</td>
      <td>0.0002</td>
      <td>0.0662</td>
      <td>0.0141</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0121</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## H1A1c</td>
      <td>0.0000</td>
      <td>0.0002</td>
      <td>0.2743</td>
      <td>0.8861</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0695</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## H1A2c</td>
      <td>0.0000</td>
      <td>0.0662</td>
      <td>0.2743</td>
      <td>0.0000</td>
      <td>0.0198</td>
      <td>0.3906</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.2180</td>
    </tr>
    <tr>
      <td>## H1A3c</td>
      <td>0.0229</td>
      <td>0.0141</td>
      <td>0.8861</td>
      <td>0.0000</td>
      <td>0.0009</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0303</td>
    </tr>
    <tr>
      <td>## H1H2c</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0198</td>
      <td>0.0009</td>
      <td>0.0000</td>
      <td>0.1186</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## H2H4c</td>
      <td>0.9131</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.3906</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0545</td>
      <td>0.0011</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## H2KH5Kc</td>
      <td>0.0000</td>
      <td>0.0121</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.1186</td>
      <td>0.0545</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## H42Kc</td>
      <td>0.7007</td>
      <td>0.0000</td>
      <td>0.0695</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0011</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## HNR05</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.2180</td>
      <td>0.0303</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## HNR15</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.1308</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0207</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## HNR25</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.2235</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0325</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## HNR35</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.2678</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0016</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## SHR</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0006</td>
      <td>0.1316</td>
    </tr>
    <tr>
      <td>## soe</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0215</td>
      <td>0.0021</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0106</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## Z1mnZ0</td>
      <td>0.7758</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0281</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0371</td>
    </tr>
    <tr>
      <td>## Z2mnZ1</td>
      <td>0.0145</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0007</td>
      <td>0.2963</td>
      <td>0.0000</td>
      <td>0.0291</td>
    </tr>
    <tr>
      <td>## Z3mnZ2</td>
      <td>0.0000</td>
      <td>0.0199</td>
      <td>0.7761</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0011</td>
      <td>0.0025</td>
      <td>0.0000</td>
      <td>0.7981</td>
    </tr>
    <tr>
      <td>## Z4mnZ3</td>
      <td>0.8516</td>
      <td>0.2106</td>
      <td>0.0005</td>
      <td>0.1306</td>
      <td>0.0000</td>
      <td>0.0277</td>
      <td>0.9449</td>
      <td>0.0089</td>
      <td>0.2068</td>
    </tr>
    <tr>
      <td>## FOBark</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.1629</td>
      <td>0.0011</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## A1mnA2</td>
      <td>0.0000</td>
      <td>0.0001</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0007</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## A1mnA3</td>
      <td>0.0000</td>
      <td>0.5036</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.4325</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## A2mnA3</td>
      <td>0.0140</td>
      <td>0.0073</td>
      <td>0.4905</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0004</td>
      <td>0.0775</td>
      <td>0.0000</td>
      <td>0.7262</td>
    </tr>
    <tr>
      <td>## HNR15</td>
      <td>HNR25</td>
      <td>HNR35</td>
      <td>SHR</td>
      <td>soe</td>
      <td>Z1mnZ0</td>
      <td>Z2mnZ1</td>
      <td>Z3mnZ2</td>
      <td>Z4mnZ3</td>
      <td>FOBark</td>
    </tr>
    <tr>
      <td>## CPP</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.7758</td>
      <td>0.0145</td>
      <td>0.0000</td>
      <td>0.8516</td>
    </tr>
    <tr>
      <td>## Energy</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0199</td>
      <td>0.2106</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## H1A1c</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.7761</td>
      <td>0.0005</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## H1A2c</td>
      <td>0.0000</td>
      <td>0.2235</td>
      <td>0.2678</td>
      <td>0.0000</td>
      <td>0.0215</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.1306</td>
    </tr>
    <tr>
      <td>## H1A3c</td>
      <td>0.1308</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0021</td>
      <td>0.0281</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0011</td>
    </tr>
    <tr>
      <td>## H1H2c</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0007</td>
      <td>0.0011</td>
      <td>0.0277</td>
    </tr>
    <tr>
      <td>## H2H4c</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.2963</td>
      <td>0.0025</td>
      <td>0.9449</td>
    </tr>
    <tr>
      <td>## H2KH5Kc</td>
      <td>0.0207</td>
      <td>0.0325</td>
      <td>0.0016</td>
      <td>0.0006</td>
      <td>0.0106</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0089</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## H42Kc</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.1316</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.2068</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## HNR05</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0371</td>
      <td>0.0291</td>
      <td>0.7981</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## HNR15</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.3872</td>
    </tr>
    <tr>
      <td>## HNR25</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.8436</td>
      <td>0.0285</td>
      <td>0.4726</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## HNR35</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0196</td>
      <td>0.0000</td>
      <td>0.0254</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## SHR</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0003</td>
      <td>0.0060</td>
      <td>0.0808</td>
    </tr>
    <tr>
      <td>## soe</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.9255</td>
      <td>0.8753</td>
      <td>0.0180</td>
    </tr>
    <tr>
      <td>## Z1mnZ0</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0079</td>
      <td>0.0038</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <td>## Z2mnZ1</td>
      <td>0.0000</td>
      <td>0.8436</td>
      <td>0.0196</td>
      <td>0.0003</td>
      <td>0.9255</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0004</td>
      <td>0.1083</td>
    </tr>
    <tr>
      <td>## Z3mnZ2</td>
      <td>0.0000</td>
      <td>0.0285</td>
      <td>0.0000</td>
      <td>0.0060</td>
      <td>0.8753</td>
      <td>0.0079</td>
      <td>0.0000</td>
      <td>0.3114</td>
      <td>0.7043</td>
    </tr>
    <tr>
      <td>## Z4mnZ3</td>
      <td>0.3872</td>
      <td>0.4726</td>
      <td>0.0254</td>
      <td>0.0808</td>
      <td>0.0180</td>
      <td>0.0038</td>
      <td>0.0004</td>
      <td>0.3114</td>
      <td>0.0013</td>
    </tr>
    <tr>
      <td>## FOBark</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.1083</td>
      <td>0.7043</td>
      <td>0.0013</td>
    </tr>
    <tr>
      <td>## A1mnA2</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0019</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.4172</td>
    </tr>
    <tr>
      <td>## A1mnA3</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.2201</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
  </tbody>
</table>
## A2mnA3 0.0006 0.0800 0.0012 0.1993 0.9114 0.0004 0.0000 0.0000 0.0000 0.3978
## A1mnA2 A1mnA3 A2mnA3
## CPP 0.0000 0.0000 0.0140
## Energy 0.0001 0.5036 0.0073
## H1A1c 0.0000 0.0000 0.4905
## H1A2c 0.0000 0.0000 0.0000
## H1A3c 0.0000 0.0000 0.0000
## H1H2c 0.0000 0.0000 0.0004
## H2H4c 0.0007 0.0000 0.0775
## H2KH5Kc 0.0000 0.4325 0.0000
## H42Kc 0.0000 0.0000 0.0000
## HNR05 0.0000 0.0000 0.7262
## HNR15 0.0000 0.0000 0.0006
## HNR25 0.0000 0.0000 0.0800
## HNR35 0.0000 0.0000 0.0012
## SHR 0.0000 0.0000 0.1993
## soe 0.0000 0.0000 0.9114
## Z1mnZ0 0.0019 0.2201 0.0004
## Z2mnZ1 0.0000 0.0000 0.0000
## Z3mnZ2 0.0000 0.0000 0.0000
## Z4mnZ3 0.4172 0.0000 0.0000
## F0Bark 0.0000 0.0000 0.3978
## A1mnA2 0.0000 0.0000
## A1mnA3 0.0000 0.0000
## A2mnA3 0.0000 0.0000

## use corrplot to obtain a nice correlation plot!

corrplot(corr$r, p.mat = corr$P,
addCoef.col = "black", diag = FALSE, type = "upper", tl.srt = 55)
<figure><img src="image_222.png" /></figure>

### 7.3.2 Reduce dimensionality by selecting uncorrelated predictors

We can use the package `recipes` to allow us to only select uncorrelated predictors at a particular level. For this to work, we need to create a recipe with our outcome. Let's say we want to use `context` as our outcome to be predicted from all available predictors in the dataset `dfPharV2`. We select all variables. Let us test various $R^2$ values between all numeric predictors, at 0.9, 0.75, 0.5, 0.25 and 0.1. Any comments?

#### 7.3.2.1 $R^2 = 0.9$

```
dim(dfPharV2) [2] -1
```

```
## [1] 24
```

```
rec <- dfPharV2 %>
recipe(context ~ .) %>
```
step_corr(all_numericPredictors(), threshold = 0.9) %>%
prep()
bake(rec, new_data = dfPharV2)

## # A tibble: 402 x 21
## contextN CPP Energy H1A1c H1A2c H1A3c H1H2c H2H4c H2KH5Kc H42Kc HNR05
## <fct> <db1> <db1> <db1> <db1> <db1> <db1> <db1> <db1> <db1> <db1>
## 1 G_01 23.5 22.8 15.2 16.0 -3.30 -1.18 2.65 23.2 -0.793 15.1
## 2 G_02 25.7 22.8 13.2 11.6 -5.92 -0.739 1.65 16.5 3.22 27.6
## 3 G_03 19.6 9.16 16.5 18.5 0.604 -0.928 4.50 18.5 3.88 8.08
## 4 G_04 23.6 17.2 16.0 20.1 -7.63 0.782 2.42 28.2 1.85 18.4
## 5 G_05 26.0 15.6 14.5 14.6 -6.73 0.0442 3.13 27.6 3.15 25.3
## 6 G_06 24.5 14.4 16.6 16.6 -5.46 1.34 4.51 21.6 2.89 15.2
## 7 G_07 23.1 18.6 15.0 15.8 -5.94 -0.211 2.11 26.3 2.23 18.7
## 8 G_08 22.2 9.04 17.1 18.4 2.10 -0.742 3.41 19.1 6.57 19.0
## 9 G_09 28.4 25.5 12.5 15.1 -3.33 -1.59 3.80 25.6 -2.15 25.1
## 10 G_10 28.2 15.8 14.7 16.3 -0.0528 0.108 3.50 22.5 1.01 29.4
## # i 392 more rows
## # i 10 more variables: HNR25 <db1>, SHR <db1>, soe <db1>, Z1mnZ0 <db1>,
## # Z2mnZ1 <db1>, Z4mnZ3 <db1>, A1mnA2 <db1>, A1mnA3 <db1>, A2mnA3 <db1>,
## # context <fct>

7.3.2.2 R² = 0.75

dim(dfPharV2)[2]-1

## [1] 24
rec <- dfPharV2 %>%
  recipe(context ~ .) %>%
  step_corr(all_numericPredictors(), threshold = 0.75) %>%
  prep()
bake(rec, new_data = dfPharV2)

## # A tibble: 402 x 14
## contextN CPP Energy H1A1c H1A2c H1A3c H1H2c H2H4c H2KH5Kc SHR Z1mnZ0
## <fct> <db1> <db1> <db1> <db1> <db1> <db1> <db1> <db1> <db1> <db1>
## 1 G_01 23.5 22.8 15.2 16.0 -3.30 -1.18 2.65 23.2 0.425 5.08
## 2 G_02 25.7 22.8 13.2 11.6 -5.92 -0.739 1.65 16.5 0.358 5.16
## 3 G_03 19.6 9.16 16.5 18.5 0.604 -0.928 4.50 18.5 0.393 4.83
## 4 G_04 23.6 17.2 16.0 20.1 -7.63 0.782 2.42 28.2 0.384 4.81
## 5 G_05 26.0 15.6 14.5 14.6 -6.73 0.0442 3.13 27.6 0.42 4.71
## 6 G_06 24.5 14.4 16.6 16.6 -5.46 1.34 4.51 21.6 0.310 4.85
## 7 G_07 23.1 18.6 15.0 15.8 -5.94 -0.211 2.11 26.3 0.595 5.17
## 8 G_08 22.2 9.04 17.1 18.4 2.10 -0.742 3.41 19.1 0.478 5.15
## 9 G_09 28.4 25.5 12.5 15.1 -3.33 -1.59 3.80 25.6 0.405 4.83
## 10 G_10 28.2 15.8 14.7 16.3 -0.0528 0.108 3.50 22.5 0.497 4.75

## # i 392 more rows

## # i 3 more variables: Z4mnZ3 <db1>, A1mnA3 <db1>, context <fct>

### 7.3.2.3 R² = 0.5

dim(dfPharV2) [2]-1

## [1] 24

rec <- dfPharV2 %>%
  recipe(context ~ .) %>%
  step Corr(all_numericPredictors(), threshold = 0.5) %>%
  prep()
bake(rec, new_data = dfPharV2)

## # A tibble: 402 x 9

## contextN CPP H1A1c H2H4c H2KH5Kc SHR Z1mnZ0 Z4mnZ3 context
## <fct> <db1> <db1> <db1> <db1> <db1> <db1> <fct>
## 1 G_01 23.5 15.2 2.65 23.2 0.425 5.08 0.974 Guttural
## 2 G_02 25.7 13.2 1.65 16.5 0.358 5.16 1.27 Guttural
## 3 G_03 19.6 16.5 4.50 18.5 0.393 4.83 1.81 Guttural
## 4 G_04 23.6 16.0 2.42 28.2 0.384 4.81 0.789 Guttural
## 5 G_05 26.0 14.5 3.13 27.6 0.42 4.71 0.962 Guttural
## 6 G_06 24.5 16.6 4.51 21.6 0.310 4.85 0.591 Guttural
## 7 G_07 23.1 15.0 2.11 26.3 0.595 5.17 1.19 Guttural
## 8 G_08 22.2 17.1 3.41 19.1 0.478 5.15 1.41 Guttural
## 9 G_09 28.4 12.5 3.80 25.6 0.405 4.83 1.47 Guttural
## 10 G_10 28.2 14.7 3.50 22.5 0.497 4.75 1.51 Guttural
## # i 392 more rows

### 7.3.2.4 R² = 0.25

dim(dfPharV2) [2]-1

## [1] 24

rec <- dfPharV2 %>%
  recipe(context ~ .) %>%
  step Corr(all_numericPredictors(), threshold = 0.25) %>%
  prep()
bake(rec, new_data = dfPharV2)

## # A tibble: 402 x 5

## contextN CPP H2H4c Z4mnZ3 context
## <fct> <db1> <db1> <fct>
## 1 G_01 23.5 2.65 0.974 Guttural
## 2 G_02 25.7 1.65 1.27 Guttural
## 3 G_03 19.6 4.50 1.81 Guttural
## 4 G_04 23.6 2.42 0.789 Guttural
## 5 G_05 26.0 3.13 0.962 Guttural
## 6 G_06 24.5 4.51 0.591 Guttural
## 7 G_07 23.1 2.11 1.19 Guttural
## 8 G_08 22.2 3.41 1.41 Guttural
## 9 G_09 28.4 3.80 1.47 Guttural
## 10 G_10 28.2 3.50 1.51 Guttural
## # i 392 more rows

7.3.2.5 R² = 0.1

dim(dfPharV2)[2]-1

[1] 24

rec <- dfPharV2 %>%
  recipe(context ~ .) %>%
  step_corr(all_numeric predictors(), threshold = 0.1) %>%
  prep()
bake(rec, new_data = dfPharV2)

[1] A tibble: 402 x 5

<table><thead><tr><th></th><th>contextN</th><th>CPP</th><th>H2H4c</th><th>Z4mnZ3</th><th>context</th></tr></thead><tbody><tr><td>1</td><td>G_01</td><td>23.5</td><td>2.65</td><td>0.974</td><td>Guttural</td></tr><tr><td>2</td><td>G_02</td><td>25.7</td><td>1.65</td><td>1.27</td><td>Guttural</td></tr><tr><td>3</td><td>G_03</td><td>19.6</td><td>4.50</td><td>1.81</td><td>Guttural</td></tr><tr><td>4</td><td>G_04</td><td>23.6</td><td>2.42</td><td>0.789</td><td>Guttural</td></tr><tr><td>5</td><td>G_05</td><td>26.0</td><td>3.13</td><td>0.962</td><td>Guttural</td></tr><tr><td>6</td><td>G_06</td><td>24.5</td><td>4.51</td><td>0.591</td><td>Guttural</td></tr><tr><td>7</td><td>G_07</td><td>23.1</td><td>2.11</td><td>1.19</td><td>Guttural</td></tr><tr><td>8</td><td>G_08</td><td>22.2</td><td>3.41</td><td>1.41</td><td>Guttural</td></tr><tr><td>9</td><td>G_09</td><td>28.4</td><td>3.80</td><td>1.47</td><td>Guttural</td></tr><tr><td>10</td><td>G_10</td><td>28.2</td><td>3.50</td><td>1.51</td><td>Guttural</td></tr></tbody><tfoot><tr><td colspan="6"># i 392 more rows</td></tr></tfoot></table>

This first solution allowed us to reduce the number of predictors from 23 (removing word and the outcome context) to a maximum of 4 predictors (+context).

The problem with this approach is that it depends on the decision of what to consider as an optimal value for R²! The second solution is to use PCA to reduce dimensionality. This is a more robust approach as it allows us to reduce the number of predictors without having to make arbitrary decisions on what R² value to use.
## 7.4 Principal Component Analyses - PCA

For this next step, we use PCA to first reduce dimensionality. PCA works by choosing a maximum number of dimensions that is always close to number of predictors - 1. Then you need to make decisions on how many dimensions to retain (usually, those with a variance explained of 5% and above).

The dimensions are all decorrelated from each other.

### 7.4.1 Model specification

We use the package `FactoMineR` to run our PCA. We use all acoustic measures as predictors and our qualitative variable as the context.

```
dfPharPCA <- dfPharV2 %>%
  column_to_rownames(var = "contextN")
dfPharPCA
```

<table><thead><tr><th>##</th><th>context</th><th>CPP</th><th>Energy</th><th>H1A1c</th><th>H1A2c</th><th>H1A3c</th></tr></thead><tbody><tr><td>## G_01</td><td>Guttural</td><td>23.53283</td><td>22.753333</td><td>15.162000</td><td>16.037000000</td><td>-3.297166667</td></tr><tr><td>## G_02</td><td>Guttural</td><td>25.71500</td><td>22.831167</td><td>13.196333</td><td>11.624000000</td><td>-5.915833333</td></tr><tr><td>## G_03</td><td>Guttural</td><td>19.61600</td><td>9.157167</td><td>16.547667</td><td>18.548833330</td><td>0.6036666667</td></tr><tr><td>## G_04</td><td>Guttural</td><td>23.59050</td><td>17.183000</td><td>15.999167</td><td>20.108000000</td><td>-7.629833333</td></tr><tr><td>## G_05</td><td>Guttural</td><td>26.01967</td><td>15.581667</td><td>14.545167</td><td>14.597000000</td><td>-6.729000000</td></tr><tr><td>## G_06</td><td>Guttural</td><td>24.52800</td><td>14.442500</td><td>16.604833</td><td>16.568000000</td><td>-5.458833333</td></tr><tr><td>## G_07</td><td>Guttural</td><td>23.05033</td><td>18.636167</td><td>14.983167</td><td>15.770666670</td><td>-5.939333333</td></tr><tr><td>## G_08</td><td>Guttural</td><td>22.23483</td><td>9.035333</td><td>17.085000</td><td>18.395500000</td><td>2.102500000</td></tr><tr><td>## G_09</td><td>Guttural</td><td>28.40900</td><td>25.507667</td><td>12.531167</td><td>15.144500000</td><td>-3.332666667</td></tr><tr><td>## G_10</td><td>Guttural</td><td>28.20017</td><td>15.784833</td><td>14.676833</td><td>16.255166670</td><td>-0.052833333</td></tr><tr><td>## G_11</td><td>Guttural</td><td>21.94183</td><td>8.381167</td><td>15.327667</td><td>18.298333330</td><td>3.297166667</td></tr><tr><td>## G_12</td><td>Guttural</td><td>25.25917</td><td>16.427000</td><td>14.621500</td><td>17.851666670</td><td>2.645833333</td></tr><tr><td>## G_13</td><td>Guttural</td><td>26.77417</td><td>14.131167</td><td>13.043833</td><td>16.166000000</td><td>-0.003833333</td></tr><tr><td>## G_14</td><td>Guttural</td><td>23.54400</td><td>9.209167</td><td>15.923000</td><td>18.273333330</td><td>6.712333333</td></tr><tr><td>## G_15</td><td>Guttural</td><td>26.10400</td><td>13.204667</td><td>17.032167</td><td>15.247833330</td><td>9.653666667</td></tr><tr><td>## G_16</td><td>Guttural</td><td>24.04650</td><td>17.796833</td><td>15.422000</td><td>15.311833330</td><td>12.995166670</td></tr><tr><td>## G_17</td><td>Guttural</td><td>26.85900</td><td>16.828833</td><td>16.779167</td><td>16.698666670</td><td>7.156833333</td></tr><tr><td>## G_18</td><td>Guttural</td><td>28.38967</td><td>12.386833</td><td>17.686167</td><td>18.283500000</td><td>9.034500000</td></tr><tr><td>## G_19</td><td>Guttural</td><td>27.74700</td><td>12.045167</td><td>17.961167</td><td>18.893000000</td><td>10.526833330</td></tr><tr><td>## G_20</td><td>Guttural</td><td>27.72100</td><td>17.095500</td><td>18.564333</td><td>17.503000000</td><td>4.353333333</td></tr><tr><td>## G_21</td><td>Guttural</td><td>23.99033</td><td>9.960667</td><td>14.002333</td><td>12.434333330</td><td>2.048833333</td></tr><tr><td>## G_22</td><td>Guttural</td><td>24.98067</td><td>6.865000</td><td>8.899500</td><td>11.032666670</td><td>12.913000000</td></tr><tr><td>## G_23</td><td>Guttural</td><td>22.88400</td><td>6.956667</td><td>8.780000</td><td>10.761166670</td><td>8.546833333</td></tr><tr><td>## G_24</td><td>Guttural</td><td>27.01567</td><td>4.675500</td><td>13.081500</td><td>8.753833333</td><td>4.991166667</td></tr><tr><td>## G_25</td><td>Guttural</td><td>25.42633</td><td>5.078000</td><td>12.522833</td><td>10.404166670</td><td>0.702500000</td></tr><tr><td>## G_26</td><td>Guttural</td><td>26.21867</td><td>3.023833</td><td>15.719167</td><td>15.716166670</td><td>11.879666670</td></tr><tr><td>## G_27</td><td>Guttural</td><td>26.66750</td><td>8.298000</td><td>13.625833</td><td>17.810333330</td><td>-4.839833333</td></tr><tr><td>## G_28</td><td>Guttural</td><td>26.55600</td><td>6.984500</td><td>12.874333</td><td>14.356000000</td><td>1.241000000</td></tr></tbody></table>
<table>
  <tr>
    <td>## G_29</td>
    <td>Guttural</td>
    <td>24.96783</td>
    <td>9.881167</td>
    <td>13.538167</td>
    <td>17.752666670</td>
    <td>5.358833333</td>
  </tr>
  <tr>
    <td>## G_30</td>
    <td>Guttural</td>
    <td>27.32883</td>
    <td>8.930000</td>
    <td>11.241333</td>
    <td>2.697666667</td>
    <td>4.946666667</td>
  </tr>
  <tr>
    <td>## G_31</td>
    <td>Guttural</td>
    <td>25.13367</td>
    <td>5.666667</td>
    <td>11.121500</td>
    <td>6.970833333</td>
    <td>2.848000000</td>
  </tr>
  <tr>
    <td>## G_32</td>
    <td>Guttural</td>
    <td>22.07817</td>
    <td>6.520833</td>
    <td>8.810167</td>
    <td>6.967666667</td>
    <td>4.062166667</td>
  </tr>
  <tr>
    <td>## G_33</td>
    <td>Guttural</td>
    <td>26.69700</td>
    <td>8.279500</td>
    <td>12.228667</td>
    <td>13.083333330</td>
    <td>-1.072833333</td>
  </tr>
  <tr>
    <td>## G_34</td>
    <td>Guttural</td>
    <td>27.88283</td>
    <td>6.787167</td>
    <td>13.108000</td>
    <td>9.650333333</td>
    <td>3.450000000</td>
  </tr>
  <tr>
    <td>## G_35</td>
    <td>Guttural</td>
    <td>26.94067</td>
    <td>9.193333</td>
    <td>11.172167</td>
    <td>14.366333330</td>
    <td>3.103000000</td>
  </tr>
  <tr>
    <td>## G_36</td>
    <td>Guttural</td>
    <td>27.27650</td>
    <td>3.635833</td>
    <td>12.690667</td>
    <td>13.933166670</td>
    <td>7.320666667</td>
  </tr>
  <tr>
    <td>## G_37</td>
    <td>Guttural</td>
    <td>27.37950</td>
    <td>3.656667</td>
    <td>13.509000</td>
    <td>10.092166670</td>
    <td>3.168833333</td>
  </tr>
  <tr>
    <td>## G_38</td>
    <td>Guttural</td>
    <td>28.56267</td>
    <td>3.316500</td>
    <td>14.945167</td>
    <td>12.151833330</td>
    <td>3.007166667</td>
  </tr>
  <tr>
    <td>## G_39</td>
    <td>Guttural</td>
    <td>28.33483</td>
    <td>5.217833</td>
    <td>11.892333</td>
    <td>9.054833333</td>
    <td>5.095666667</td>
  </tr>
  <tr>
    <td>## G_40</td>
    <td>Guttural</td>
    <td>27.66750</td>
    <td>7.346000</td>
    <td>9.847167</td>
    <td>9.948166667</td>
    <td>4.836000000</td>
  </tr>
  <tr>
    <td>## G_41</td>
    <td>Guttural</td>
    <td>25.61317</td>
    <td>21.563333</td>
    <td>17.943167</td>
    <td>17.311000000</td>
    <td>-5.218333333</td>
  </tr>
  <tr>
    <td>## G_42</td>
    <td>Guttural</td>
    <td>22.82933</td>
    <td>12.978667</td>
    <td>19.184333</td>
    <td>19.513666670</td>
    <td>-2.856833333</td>
  </tr>
  <tr>
    <td>## G_43</td>
    <td>Guttural</td>
    <td>28.46233</td>
    <td>18.690333</td>
    <td>13.354833</td>
    <td>17.494000000</td>
    <td>-2.092666667</td>
  </tr>
  <tr>
    <td>## G_44</td>
    <td>Guttural</td>
    <td>27.53633</td>
    <td>17.938833</td>
    <td>15.590667</td>
    <td>17.878000000</td>
    <td>0.717833333</td>
  </tr>
  <tr>
    <td>## G_45</td>
    <td>Guttural</td>
    <td>26.28583</td>
    <td>18.138333</td>
    <td>15.395333</td>
    <td>19.787666670</td>
    <td>-0.998666667</td>
  </tr>
  <tr>
    <td>## G_46</td>
    <td>Guttural</td>
    <td>27.73583</td>
    <td>23.601500</td>
    <td>14.108167</td>
    <td>17.988000000</td>
    <td>-11.412166670</td>
  </tr>
  <tr>
    <td>## G_47</td>
    <td>Guttural</td>
    <td>29.15950</td>
    <td>27.768833</td>
    <td>13.659667</td>
    <td>15.779833330</td>
    <td>-13.058333330</td>
  </tr>
  <tr>
    <td>## G_48</td>
    <td>Guttural</td>
    <td>26.42450</td>
    <td>20.406500</td>
    <td>13.544000</td>
    <td>19.339000000</td>
    <td>-10.366833330</td>
  </tr>
  <tr>
    <td>## G_49</td>
    <td>Guttural</td>
    <td>22.49300</td>
    <td>7.321333</td>
    <td>10.199333</td>
    <td>7.541666667</td>
    <td>6.772000000</td>
  </tr>
  <tr>
    <td>## G_50</td>
    <td>Guttural</td>
    <td>20.58800</td>
    <td>5.425000</td>
    <td>10.907167</td>
    <td>12.204333330</td>
    <td>7.929166667</td>
  </tr>
  <tr>
    <td>## G_51</td>
    <td>Guttural</td>
    <td>25.05133</td>
    <td>5.680000</td>
    <td>11.139833</td>
    <td>8.217166667</td>
    <td>9.134833333</td>
  </tr>
  <tr>
    <td>## G_52</td>
    <td>Guttural</td>
    <td>25.03717</td>
    <td>6.080167</td>
    <td>15.766000</td>
    <td>12.472500000</td>
    <td>3.111500000</td>
  </tr>
  <tr>
    <td>## G_53</td>
    <td>Guttural</td>
    <td>25.14467</td>
    <td>4.166000</td>
    <td>13.942167</td>
    <td>10.532833330</td>
    <td>1.143666667</td>
  </tr>
  <tr>
    <td>## G_54</td>
    <td>Guttural</td>
    <td>25.99167</td>
    <td>4.398833</td>
    <td>14.709833</td>
    <td>11.321166670</td>
    <td>7.325500000</td>
  </tr>
  <tr>
    <td>## G_55</td>
    <td>Guttural</td>
    <td>22.66283</td>
    <td>4.583500</td>
    <td>16.994333</td>
    <td>14.973666670</td>
    <td>14.764500000</td>
  </tr>
  <tr>
    <td>## G_56</td>
    <td>Guttural</td>
    <td>25.86283</td>
    <td>9.218667</td>
    <td>11.968667</td>
    <td>9.887500000</td>
    <td>14.498666670</td>
  </tr>
  <tr>
    <td>## G_57</td>
    <td>Guttural</td>
    <td>22.18800</td>
    <td>5.157667</td>
    <td>11.693833</td>
    <td>17.867833330</td>
    <td>10.873833330</td>
  </tr>
  <tr>
    <td>## G_58</td>
    <td>Guttural</td>
    <td>23.18933</td>
    <td>5.421833</td>
    <td>13.441500</td>
    <td>9.072500000</td>
    <td>9.077666667</td>
  </tr>
  <tr>
    <td>## G_59</td>
    <td>Guttural</td>
    <td>23.76933</td>
    <td>7.711167</td>
    <td>7.921000</td>
    <td>9.312666667</td>
    <td>6.566333333</td>
  </tr>
  <tr>
    <td>## G_60</td>
    <td>Guttural</td>
    <td>22.29067</td>
    <td>5.355000</td>
    <td>9.188333</td>
    <td>11.608833330</td>
    <td>10.646833330</td>
  </tr>
  <tr>
    <td>## G_61</td>
    <td>Guttural</td>
    <td>23.01267</td>
    <td>2.678000</td>
    <td>16.392000</td>
    <td>17.616166670</td>
    <td>16.699333330</td>
  </tr>
  <tr>
    <td>## G_62</td>
    <td>Guttural</td>
    <td>24.11700</td>
    <td>5.343000</td>
    <td>10.621833</td>
    <td>14.189666670</td>
    <td>11.859666670</td>
  </tr>
  <tr>
    <td>## G_63</td>
    <td>Guttural</td>
    <td>22.01067</td>
    <td>2.025667</td>
    <td>15.925500</td>
    <td>18.285666670</td>
    <td>11.077500000</td>
  </tr>
  <tr>
    <td>## G_64</td>
    <td>Guttural</td>
    <td>26.24850</td>
    <td>6.040667</td>
    <td>11.624833</td>
    <td>9.844333333</td>
    <td>3.392666667</td>
  </tr>
  <tr>
    <td>## G_65</td>
    <td>Guttural</td>
    <td>25.06283</td>
    <td>6.673000</td>
    <td>11.032500</td>
    <td>11.562000000</td>
    <td>2.225000000</td>
  </tr>
  <tr>
    <td>## G_66</td>
    <td>Guttural</td>
    <td>25.59783</td>
    <td>5.428667</td>
    <td>13.105833</td>
    <td>14.649500000</td>
    <td>0.853000000</td>
  </tr>
  <tr>
    <td>## G_67</td>
    <td>Guttural</td>
    <td>24.43200</td>
    <td>14.730667</td>
    <td>9.838667</td>
    <td>15.995500000</td>
    <td>-11.320166670</td>
  </tr>
  <tr>
    <td>## G_68</td>
    <td>Guttural</td>
    <td>24.87883</td>
    <td>6.594333</td>
    <td>14.814667</td>
    <td>20.209000000</td>
    <td>-12.519000000</td>
  </tr>
  <tr>
    <td>## G_69</td>
    <td>Guttural</td>
    <td>23.34417</td>
    <td>5.670667</td>
    <td>10.890000</td>
    <td>19.541000000</td>
    <td>-9.399166667</td>
  </tr>
  <tr>
    <td>## G_70</td>
    <td>Guttural</td>
    <td>25.03100</td>
    <td>7.547833</td>
    <td>9.411167</td>
    <td>18.249333330</td>
    <td>-8.499000000</td>
  </tr>
  <tr>
    <td>## G_71</td>
    <td>Guttural</td>
    <td>24.63283</td>
    <td>7.801833</td>
    <td>10.389667</td>
    <td>18.307500000</td>
    <td>-3.549666667</td>
  </tr>
  <tr>
    <td>## G_72</td>
    <td>Guttural</td>
    <td>25.78133</td>
    <td>4.463000</td>
    <td>9.071167</td>
    <td>17.769833330</td>
    <td>0.143000000</td>
  </tr>
  <tr>
    <td>## G_73</td>
    <td>Guttural</td>
    <td>27.25283</td>
    <td>8.045000</td>
    <td>15.270500</td>
    <td>18.125500000</td>
    <td>-6.345000000</td>
  </tr>
  <tr>
    <td>## G_74</td>
    <td>Guttural</td>
    <td>27.58633</td>
    <td>5.666333</td>
    <td>14.309833</td>
    <td>20.686833330</td>
    <td>-3.823166667</td>
  </tr>
</table>
<table>
  <tbody>
    <tr>
      <td>## G_75</td>
      <td>Guttural</td>
      <td>27.05033</td>
      <td>7.960333</td>
      <td>11.655000</td>
      <td>21.683166670</td>
      <td>-2.760333333</td>
    </tr>
    <tr>
      <td>## G_76</td>
      <td>Guttural</td>
      <td>26.59033</td>
      <td>5.635000</td>
      <td>12.240333</td>
      <td>18.192000000</td>
      <td>-8.439166667</td>
    </tr>
    <tr>
      <td>## G_77</td>
      <td>Guttural</td>
      <td>26.82283</td>
      <td>7.020667</td>
      <td>11.216833</td>
      <td>16.755833330</td>
      <td>-13.942666670</td>
    </tr>
    <tr>
      <td>## G_78</td>
      <td>Guttural</td>
      <td>25.81750</td>
      <td>3.707333</td>
      <td>11.539833</td>
      <td>22.186666670</td>
      <td>-5.526166667</td>
    </tr>
    <tr>
      <td>## G_79</td>
      <td>Guttural</td>
      <td>25.63967</td>
      <td>5.199667</td>
      <td>14.509833</td>
      <td>21.142333330</td>
      <td>-6.692500000</td>
    </tr>
    <tr>
      <td>## G_80</td>
      <td>Guttural</td>
      <td>27.40500</td>
      <td>4.955667</td>
      <td>12.377167</td>
      <td>21.673833330</td>
      <td>-10.275333330</td>
    </tr>
    <tr>
      <td>## G_81</td>
      <td>Guttural</td>
      <td>24.10483</td>
      <td>3.755833</td>
      <td>14.329833</td>
      <td>23.011500000</td>
      <td>-13.781666670</td>
    </tr>
    <tr>
      <td>## G_82</td>
      <td>Guttural</td>
      <td>22.91500</td>
      <td>9.041167</td>
      <td>16.315000</td>
      <td>20.976333330</td>
      <td>17.052333330</td>
    </tr>
    <tr>
      <td>## G_83</td>
      <td>Guttural</td>
      <td>24.41567</td>
      <td>4.939667</td>
      <td>14.639667</td>
      <td>16.479833330</td>
      <td>9.291500000</td>
    </tr>
    <tr>
      <td>## G_84</td>
      <td>Guttural</td>
      <td>20.85033</td>
      <td>6.846500</td>
      <td>9.426667</td>
      <td>18.166000000</td>
      <td>14.775333330</td>
    </tr>
    <tr>
      <td>## G_85</td>
      <td>Guttural</td>
      <td>26.51383</td>
      <td>5.141833</td>
      <td>16.210667</td>
      <td>19.563000000</td>
      <td>9.163833333</td>
    </tr>
    <tr>
      <td>## G_86</td>
      <td>Guttural</td>
      <td>28.48700</td>
      <td>8.129500</td>
      <td>13.909667</td>
      <td>18.695000000</td>
      <td>4.915000000</td>
    </tr>
    <tr>
      <td>## G_87</td>
      <td>Guttural</td>
      <td>27.49633</td>
      <td>11.095500</td>
      <td>11.066000</td>
      <td>18.965166670</td>
      <td>2.623166667</td>
    </tr>
    <tr>
      <td>## G_88</td>
      <td>Guttural</td>
      <td>26.60300</td>
      <td>3.859333</td>
      <td>12.750000</td>
      <td>18.734833330</td>
      <td>2.964333333</td>
    </tr>
    <tr>
      <td>## G_89</td>
      <td>Guttural</td>
      <td>28.35517</td>
      <td>5.663833</td>
      <td>13.142833</td>
      <td>20.205833330</td>
      <td>5.908666667</td>
    </tr>
    <tr>
      <td>## G_90</td>
      <td>Guttural</td>
      <td>24.01017</td>
      <td>9.212000</td>
      <td>7.675833</td>
      <td>18.342666670</td>
      <td>3.849166667</td>
    </tr>
    <tr>
      <td>## G_91</td>
      <td>Guttural</td>
      <td>24.86500</td>
      <td>9.328667</td>
      <td>16.676833</td>
      <td>18.796166670</td>
      <td>-5.148166667</td>
    </tr>
    <tr>
      <td>## G_92</td>
      <td>Guttural</td>
      <td>24.29733</td>
      <td>7.416000</td>
      <td>11.181500</td>
      <td>18.721166670</td>
      <td>-2.973833333</td>
    </tr>
    <tr>
      <td>## G_93</td>
      <td>Guttural</td>
      <td>24.55167</td>
      <td>5.633333</td>
      <td>12.430833</td>
      <td>21.572666670</td>
      <td>-3.729166667</td>
    </tr>
    <tr>
      <td>## G_94</td>
      <td>Guttural</td>
      <td>24.99883</td>
      <td>8.452833</td>
      <td>11.895167</td>
      <td>19.425500000</td>
      <td>4.557666667</td>
    </tr>
    <tr>
      <td>## G_95</td>
      <td>Guttural</td>
      <td>25.90217</td>
      <td>5.615500</td>
      <td>12.851000</td>
      <td>20.409666670</td>
      <td>0.866833333</td>
    </tr>
    <tr>
      <td>## G_96</td>
      <td>Guttural</td>
      <td>26.23400</td>
      <td>9.991333</td>
      <td>11.733167</td>
      <td>20.203500000</td>
      <td>-9.457500000</td>
    </tr>
    <tr>
      <td>## G_97</td>
      <td>Guttural</td>
      <td>26.13867</td>
      <td>6.806833</td>
      <td>20.998667</td>
      <td>18.378333330</td>
      <td>0.313333333</td>
    </tr>
    <tr>
      <td>## G_98</td>
      <td>Guttural</td>
      <td>27.38600</td>
      <td>5.236667</td>
      <td>28.672500</td>
      <td>21.517833330</td>
      <td>0.575666667</td>
    </tr>
    <tr>
      <td>## G_99</td>
      <td>Guttural</td>
      <td>25.75283</td>
      <td>3.612167</td>
      <td>28.303333</td>
      <td>22.152500000</td>
      <td>-0.441833333</td>
    </tr>
    <tr>
      <td>## G_100</td>
      <td>Guttural</td>
      <td>27.20467</td>
      <td>6.145333</td>
      <td>23.587000</td>
      <td>19.896333330</td>
      <td>1.222333333</td>
    </tr>
    <tr>
      <td>## G_101</td>
      <td>Guttural</td>
      <td>27.18767</td>
      <td>6.065333</td>
      <td>27.910000</td>
      <td>20.954666670</td>
      <td>-0.226333333</td>
    </tr>
    <tr>
      <td>## G_102</td>
      <td>Guttural</td>
      <td>29.11433</td>
      <td>5.454333</td>
      <td>25.014667</td>
      <td>18.746000000</td>
      <td>-2.302000000</td>
    </tr>
    <tr>
      <td>## G_103</td>
      <td>Guttural</td>
      <td>27.74600</td>
      <td>9.265500</td>
      <td>27.196667</td>
      <td>18.352500000</td>
      <td>2.391333333</td>
    </tr>
    <tr>
      <td>## G_104</td>
      <td>Guttural</td>
      <td>29.04333</td>
      <td>10.276000</td>
      <td>27.161333</td>
      <td>17.389666670</td>
      <td>0.153666667</td>
    </tr>
    <tr>
      <td>## G_105</td>
      <td>Guttural</td>
      <td>28.54333</td>
      <td>6.355333</td>
      <td>26.386333</td>
      <td>18.147833330</td>
      <td>0.200500000</td>
    </tr>
    <tr>
      <td>## G_106</td>
      <td>Guttural</td>
      <td>28.92650</td>
      <td>7.118333</td>
      <td>27.755667</td>
      <td>20.951333330</td>
      <td>0.485000000</td>
    </tr>
    <tr>
      <td>## G_107</td>
      <td>Guttural</td>
      <td>28.39350</td>
      <td>6.915000</td>
      <td>27.183333</td>
      <td>19.744166670</td>
      <td>-1.527166667</td>
    </tr>
    <tr>
      <td>## G_108</td>
      <td>Guttural</td>
      <td>27.63650</td>
      <td>5.219167</td>
      <td>24.210333</td>
      <td>20.059166670</td>
      <td>-4.718166667</td>
    </tr>
    <tr>
      <td>## G_109</td>
      <td>Guttural</td>
      <td>27.13883</td>
      <td>8.293500</td>
      <td>21.782500</td>
      <td>18.276000000</td>
      <td>-3.633333333</td>
    </tr>
    <tr>
      <td>## G_110</td>
      <td>Guttural</td>
      <td>27.20000</td>
      <td>6.996500</td>
      <td>22.613000</td>
      <td>19.119333330</td>
      <td>-2.967000000</td>
    </tr>
    <tr>
      <td>## G_111</td>
      <td>Guttural</td>
      <td>28.48283</td>
      <td>4.955500</td>
      <td>26.581833</td>
      <td>16.566500000</td>
      <td>-0.905166667</td>
    </tr>
    <tr>
      <td>## G_112</td>
      <td>Guttural</td>
      <td>27.16667</td>
      <td>5.311667</td>
      <td>25.751167</td>
      <td>21.127000000</td>
      <td>-0.440833333</td>
    </tr>
    <tr>
      <td>## G_113</td>
      <td>Guttural</td>
      <td>27.78050</td>
      <td>6.481167</td>
      <td>21.969500</td>
      <td>16.136333330</td>
      <td>-9.339333333</td>
    </tr>
    <tr>
      <td>## G_114</td>
      <td>Guttural</td>
      <td>27.51883</td>
      <td>4.628667</td>
      <td>21.622000</td>
      <td>17.061333330</td>
      <td>-1.730666667</td>
    </tr>
    <tr>
      <td>## G_115</td>
      <td>Guttural</td>
      <td>28.78117</td>
      <td>11.488000</td>
      <td>20.661000</td>
      <td>14.037166670</td>
      <td>2.255333333</td>
    </tr>
    <tr>
      <td>## G_116</td>
      <td>Guttural</td>
      <td>29.75883</td>
      <td>11.543167</td>
      <td>21.834167</td>
      <td>11.480333330</td>
      <td>2.040833333</td>
    </tr>
    <tr>
      <td>## G_117</td>
      <td>Guttural</td>
      <td>27.70817</td>
      <td>5.026833</td>
      <td>23.341000</td>
      <td>21.680000000</td>
      <td>12.172500000</td>
    </tr>
    <tr>
      <td>## G_118</td>
      <td>Guttural</td>
      <td>29.99617</td>
      <td>11.977833</td>
      <td>23.714000</td>
      <td>17.195666670</td>
      <td>7.234000000</td>
    </tr>
    <tr>
      <td>## G_119</td>
      <td>Guttural</td>
      <td>29.31800</td>
      <td>5.565500</td>
      <td>30.389000</td>
      <td>20.958000000</td>
      <td>8.696833333</td>
    </tr>
    <tr>
      <td>## G_120</td>
      <td>Guttural</td>
      <td>29.70967</td>
      <td>6.476000</td>
      <td>28.047833</td>
      <td>17.981333330</td>
      <td>7.422166667</td>
    </tr>
  </tbody>
</table>
<table>
  <tr>
    <td>G_121</td>
    <td>Guttural 29.19167</td>
    <td>4.531000</td>
    <td>20.010833</td>
    <td>17.417833330</td>
    <td>-0.644166667</td>
  </tr>
  <tr>
    <td>G_122</td>
    <td>Guttural 29.16567</td>
    <td>5.088500</td>
    <td>18.675000</td>
    <td>17.090666670</td>
    <td>-0.578833333</td>
  </tr>
  <tr>
    <td>G_123</td>
    <td>Guttural 29.25817</td>
    <td>3.532667</td>
    <td>25.077000</td>
    <td>20.899000000</td>
    <td>-0.256666667</td>
  </tr>
  <tr>
    <td>G_124</td>
    <td>Guttural 27.51300</td>
    <td>1.954500</td>
    <td>19.826667</td>
    <td>6.702333333</td>
    <td>8.016166667</td>
  </tr>
  <tr>
    <td>G_125</td>
    <td>Guttural 28.21067</td>
    <td>1.712833</td>
    <td>18.510833</td>
    <td>8.113833333</td>
    <td>5.061833333</td>
  </tr>
  <tr>
    <td>G_126</td>
    <td>Guttural 28.89017</td>
    <td>1.696333</td>
    <td>18.287000</td>
    <td>8.683166667</td>
    <td>4.858666667</td>
  </tr>
  <tr>
    <td>G_127</td>
    <td>Guttural 28.74817</td>
    <td>2.787167</td>
    <td>23.458000</td>
    <td>6.597333333</td>
    <td>4.967166667</td>
  </tr>
  <tr>
    <td>G_128</td>
    <td>Guttural 28.85467</td>
    <td>2.065000</td>
    <td>23.047667</td>
    <td>7.919666667</td>
    <td>3.693333333</td>
  </tr>
  <tr>
    <td>G_129</td>
    <td>Guttural 28.55900</td>
    <td>2.284833</td>
    <td>20.298833</td>
    <td>9.721000000</td>
    <td>5.906833333</td>
  </tr>
  <tr>
    <td>G_130</td>
    <td>Guttural 28.42800</td>
    <td>3.462167</td>
    <td>18.266500</td>
    <td>2.687833333</td>
    <td>7.837166667</td>
  </tr>
  <tr>
    <td>G_131</td>
    <td>Guttural 27.93883</td>
    <td>3.173167</td>
    <td>16.673167</td>
    <td>3.005500000</td>
    <td>7.494166667</td>
  </tr>
  <tr>
    <td>G_132</td>
    <td>Guttural 26.54050</td>
    <td>2.722667</td>
    <td>16.265000</td>
    <td>8.467333333</td>
    <td>9.640666667</td>
  </tr>
  <tr>
    <td>G_133</td>
    <td>Guttural 26.03267</td>
    <td>4.118500</td>
    <td>17.761333</td>
    <td>4.416500000</td>
    <td>5.479666667</td>
  </tr>
  <tr>
    <td>G_134</td>
    <td>Guttural 26.75050</td>
    <td>2.947667</td>
    <td>17.522667</td>
    <td>8.031166667</td>
    <td>5.038333333</td>
  </tr>
  <tr>
    <td>G_135</td>
    <td>Guttural 28.03367</td>
    <td>4.334167</td>
    <td>16.563333</td>
    <td>7.197666667</td>
    <td>7.350166667</td>
  </tr>
  <tr>
    <td>G_136</td>
    <td>Guttural 27.50933</td>
    <td>2.825167</td>
    <td>17.234000</td>
    <td>10.061833330</td>
    <td>3.912166667</td>
  </tr>
  <tr>
    <td>G_137</td>
    <td>Guttural 28.73133</td>
    <td>2.554167</td>
    <td>19.070167</td>
    <td>7.857666667</td>
    <td>5.418000000</td>
  </tr>
  <tr>
    <td>G_138</td>
    <td>Guttural 26.81717</td>
    <td>2.843500</td>
    <td>16.541667</td>
    <td>9.361333333</td>
    <td>4.723833333</td>
  </tr>
  <tr>
    <td>G_139</td>
    <td>Guttural 27.93033</td>
    <td>3.930833</td>
    <td>20.689667</td>
    <td>6.134666667</td>
    <td>2.063833333</td>
  </tr>
  <tr>
    <td>G_140</td>
    <td>Guttural 27.12700</td>
    <td>3.354833</td>
    <td>19.041667</td>
    <td>8.477833333</td>
    <td>4.233000000</td>
  </tr>
  <tr>
    <td>G_141</td>
    <td>Guttural 26.37767</td>
    <td>3.903000</td>
    <td>17.556667</td>
    <td>11.475833330</td>
    <td>2.151500000</td>
  </tr>
  <tr>
    <td>G_142</td>
    <td>Guttural 26.79417</td>
    <td>2.123667</td>
    <td>17.404000</td>
    <td>1.093833333</td>
    <td>9.033333333</td>
  </tr>
  <tr>
    <td>G_143</td>
    <td>Guttural 27.01250</td>
    <td>3.331500</td>
    <td>16.828667</td>
    <td>1.100833333</td>
    <td>7.705166667</td>
  </tr>
  <tr>
    <td>G_144</td>
    <td>Guttural 26.44200</td>
    <td>2.561667</td>
    <td>16.338833</td>
    <td>5.571833333</td>
    <td>10.445666670</td>
  </tr>
  <tr>
    <td>G_145</td>
    <td>Guttural 27.43783</td>
    <td>3.932000</td>
    <td>20.204833</td>
    <td>-2.183166667</td>
    <td>10.569500000</td>
  </tr>
  <tr>
    <td>G_146</td>
    <td>Guttural 27.83317</td>
    <td>5.359833</td>
    <td>18.695333</td>
    <td>-2.274833333</td>
    <td>5.102333333</td>
  </tr>
  <tr>
    <td>G_147</td>
    <td>Guttural 28.15200</td>
    <td>5.049333</td>
    <td>17.052333</td>
    <td>0.099500000</td>
    <td>3.848833333</td>
  </tr>
  <tr>
    <td>G_148</td>
    <td>Guttural 28.16617</td>
    <td>4.152000</td>
    <td>18.656000</td>
    <td>3.684666667</td>
    <td>2.067000000</td>
  </tr>
  <tr>
    <td>G_149</td>
    <td>Guttural 26.84067</td>
    <td>3.572167</td>
    <td>19.216500</td>
    <td>5.988000000</td>
    <td>2.914333333</td>
  </tr>
  <tr>
    <td>G_150</td>
    <td>Guttural 27.29533</td>
    <td>4.223167</td>
    <td>13.075833</td>
    <td>7.876833333</td>
    <td>-0.048333333</td>
  </tr>
  <tr>
    <td>G_151</td>
    <td>Guttural 28.79867</td>
    <td>7.474833</td>
    <td>17.082000</td>
    <td>12.119000000</td>
    <td>-5.820166667</td>
  </tr>
  <tr>
    <td>G_152</td>
    <td>Guttural 28.82617</td>
    <td>5.985833</td>
    <td>19.140167</td>
    <td>12.818000000</td>
    <td>-7.096500000</td>
  </tr>
  <tr>
    <td>G_153</td>
    <td>Guttural 28.21600</td>
    <td>5.953500</td>
    <td>22.037833</td>
    <td>16.060166670</td>
    <td>-4.312333333</td>
  </tr>
  <tr>
    <td>G_154</td>
    <td>Guttural 25.29433</td>
    <td>2.610333</td>
    <td>17.426000</td>
    <td>21.714500000</td>
    <td>-2.174000000</td>
  </tr>
  <tr>
    <td>G_155</td>
    <td>Guttural 25.80433</td>
    <td>2.730500</td>
    <td>16.488833</td>
    <td>24.048666670</td>
    <td>1.396666667</td>
  </tr>
  <tr>
    <td>G_156</td>
    <td>Guttural 26.71683</td>
    <td>2.336333</td>
    <td>16.908000</td>
    <td>24.256833330</td>
    <td>-0.904000000</td>
  </tr>
  <tr>
    <td>G_157</td>
    <td>Guttural 25.22083</td>
    <td>2.230833</td>
    <td>22.489167</td>
    <td>22.326000000</td>
    <td>-2.471666667</td>
  </tr>
  <tr>
    <td>G_158</td>
    <td>Guttural 27.27350</td>
    <td>2.291333</td>
    <td>21.395833</td>
    <td>23.041833330</td>
    <td>-5.835166667</td>
  </tr>
  <tr>
    <td>G_159</td>
    <td>Guttural 26.89467</td>
    <td>2.151167</td>
    <td>17.759500</td>
    <td>21.177666670</td>
    <td>-4.733833333</td>
  </tr>
  <tr>
    <td>G_160</td>
    <td>Guttural 24.50667</td>
    <td>4.273167</td>
    <td>17.098500</td>
    <td>14.101666670</td>
    <td>-6.083666667</td>
  </tr>
  <tr>
    <td>G_161</td>
    <td>Guttural 26.66617</td>
    <td>4.187667</td>
    <td>18.155333</td>
    <td>17.709000000</td>
    <td>-8.775833333</td>
  </tr>
  <tr>
    <td>G_162</td>
    <td>Guttural 25.49150</td>
    <td>3.615667</td>
    <td>17.888000</td>
    <td>16.304833330</td>
    <td>-7.775666667</td>
  </tr>
  <tr>
    <td>G_163</td>
    <td>Guttural 25.26400</td>
    <td>2.276167</td>
    <td>19.670667</td>
    <td>18.768000000</td>
    <td>-4.513500000</td>
  </tr>
  <tr>
    <td>G_164</td>
    <td>Guttural 24.87617</td>
    <td>1.743833</td>
    <td>20.583000</td>
    <td>21.293166670</td>
    <td>-5.631333333</td>
  </tr>
  <tr>
    <td>G_165</td>
    <td>Guttural 24.44167</td>
    <td>2.738500</td>
    <td>16.652667</td>
    <td>21.830166670</td>
    <td>-2.822666667</td>
  </tr>
  <tr>
    <td>G_166</td>
    <td>Guttural 25.95017</td>
    <td>2.234167</td>
    <td>21.803000</td>
    <td>28.399500000</td>
    <td>-8.168000000</td>
  </tr>
</table>
<table>
  <tbody>
    <tr>
      <td>## G_167</td>
      <td>Guttural</td>
      <td>25.61000</td>
      <td>1.929167</td>
      <td>17.027333</td>
      <td>23.403166670</td>
      <td>-7.841666667</td>
    </tr>
    <tr>
      <td>## G_168</td>
      <td>Guttural</td>
      <td>25.52633</td>
      <td>1.376833</td>
      <td>17.885833</td>
      <td>21.694166670</td>
      <td>-10.498000000</td>
    </tr>
    <tr>
      <td>## G_169</td>
      <td>Guttural</td>
      <td>22.86617</td>
      <td>1.549333</td>
      <td>25.459333</td>
      <td>30.355500000</td>
      <td>-10.306000000</td>
    </tr>
    <tr>
      <td>## G_170</td>
      <td>Guttural</td>
      <td>24.96833</td>
      <td>2.133667</td>
      <td>28.148667</td>
      <td>33.134500000</td>
      <td>-7.575666667</td>
    </tr>
    <tr>
      <td>## G_171</td>
      <td>Guttural</td>
      <td>24.98583</td>
      <td>2.241167</td>
      <td>19.849167</td>
      <td>24.619000000</td>
      <td>-8.219500000</td>
    </tr>
    <tr>
      <td>## G_172</td>
      <td>Guttural</td>
      <td>25.03333</td>
      <td>3.259833</td>
      <td>15.169333</td>
      <td>22.224166670</td>
      <td>-0.029666667</td>
    </tr>
    <tr>
      <td>## G_173</td>
      <td>Guttural</td>
      <td>26.84167</td>
      <td>3.672333</td>
      <td>13.239667</td>
      <td>22.428500000</td>
      <td>0.418833333</td>
    </tr>
    <tr>
      <td>## G_174</td>
      <td>Guttural</td>
      <td>26.22150</td>
      <td>3.168500</td>
      <td>13.656833</td>
      <td>23.506000000</td>
      <td>1.021666667</td>
    </tr>
    <tr>
      <td>## G_175</td>
      <td>Guttural</td>
      <td>26.66167</td>
      <td>4.832667</td>
      <td>13.699833</td>
      <td>17.729833330</td>
      <td>-3.052833333</td>
    </tr>
    <tr>
      <td>## G_176</td>
      <td>Guttural</td>
      <td>27.95633</td>
      <td>4.337833</td>
      <td>14.025500</td>
      <td>19.170666670</td>
      <td>-3.582000000</td>
    </tr>
    <tr>
      <td>## G_177</td>
      <td>Guttural</td>
      <td>28.05433</td>
      <td>4.597667</td>
      <td>13.855667</td>
      <td>24.859166670</td>
      <td>0.232500000</td>
    </tr>
    <tr>
      <td>## G_178</td>
      <td>Guttural</td>
      <td>26.56450</td>
      <td>1.582167</td>
      <td>18.842000</td>
      <td>19.833166670</td>
      <td>-0.694333333</td>
    </tr>
    <tr>
      <td>## G_179</td>
      <td>Guttural</td>
      <td>26.72050</td>
      <td>1.625333</td>
      <td>19.017167</td>
      <td>20.388666670</td>
      <td>-1.185833333</td>
    </tr>
    <tr>
      <td>## G_180</td>
      <td>Guttural</td>
      <td>27.22317</td>
      <td>1.933333</td>
      <td>19.026167</td>
      <td>21.374000000</td>
      <td>-5.453000000</td>
    </tr>
    <tr>
      <td>## NG_01</td>
      <td>Non-Guttural</td>
      <td>24.59917</td>
      <td>8.798833</td>
      <td>17.511833</td>
      <td>18.537000000</td>
      <td>8.251500000</td>
    </tr>
    <tr>
      <td>## NG_02</td>
      <td>Non-Guttural</td>
      <td>23.13000</td>
      <td>12.160333</td>
      <td>14.863667</td>
      <td>13.589333330</td>
      <td>4.377500000</td>
    </tr>
    <tr>
      <td>## NG_03</td>
      <td>Non-Guttural</td>
      <td>20.25467</td>
      <td>6.975000</td>
      <td>15.614667</td>
      <td>13.732000000</td>
      <td>7.873833333</td>
    </tr>
    <tr>
      <td>## NG_04</td>
      <td>Non-Guttural</td>
      <td>22.08517</td>
      <td>6.258167</td>
      <td>17.595333</td>
      <td>18.008333330</td>
      <td>12.506833330</td>
    </tr>
    <tr>
      <td>## NG_05</td>
      <td>Non-Guttural</td>
      <td>25.89650</td>
      <td>9.108500</td>
      <td>15.700000</td>
      <td>12.869333330</td>
      <td>4.345666667</td>
    </tr>
    <tr>
      <td>## NG_06</td>
      <td>Non-Guttural</td>
      <td>20.51767</td>
      <td>5.768167</td>
      <td>17.136000</td>
      <td>14.129500000</td>
      <td>5.224000000</td>
    </tr>
    <tr>
      <td>## NG_07</td>
      <td>Non-Guttural</td>
      <td>22.71750</td>
      <td>9.528167</td>
      <td>15.418333</td>
      <td>13.639000000</td>
      <td>16.137000000</td>
    </tr>
    <tr>
      <td>## NG_08</td>
      <td>Non-Guttural</td>
      <td>24.37000</td>
      <td>17.032667</td>
      <td>13.728000</td>
      <td>12.039833330</td>
      <td>8.990166667</td>
    </tr>
    <tr>
      <td>## NG_09</td>
      <td>Non-Guttural</td>
      <td>21.89033</td>
      <td>11.273000</td>
      <td>13.502500</td>
      <td>11.021833330</td>
      <td>13.024666670</td>
    </tr>
    <tr>
      <td>## NG_10</td>
      <td>Non-Guttural</td>
      <td>26.91467</td>
      <td>11.088667</td>
      <td>13.866333</td>
      <td>10.183166670</td>
      <td>11.977833330</td>
    </tr>
    <tr>
      <td>## NG_11</td>
      <td>Non-Guttural</td>
      <td>28.23717</td>
      <td>12.617667</td>
      <td>13.680000</td>
      <td>9.372166667</td>
      <td>9.454333333</td>
    </tr>
    <tr>
      <td>## NG_12</td>
      <td>Non-Guttural</td>
      <td>23.68433</td>
      <td>7.080667</td>
      <td>14.808000</td>
      <td>12.232833330</td>
      <td>15.105000000</td>
    </tr>
    <tr>
      <td>## NG_13</td>
      <td>Non-Guttural</td>
      <td>20.97900</td>
      <td>9.864333</td>
      <td>14.807500</td>
      <td>15.738833330</td>
      <td>5.373500000</td>
    </tr>
    <tr>
      <td>## NG_14</td>
      <td>Non-Guttural</td>
      <td>21.14083</td>
      <td>10.610667</td>
      <td>12.692500</td>
      <td>14.741166670</td>
      <td>2.161500000</td>
    </tr>
    <tr>
      <td>## NG_15</td>
      <td>Non-Guttural</td>
      <td>22.30267</td>
      <td>15.194833</td>
      <td>11.881667</td>
      <td>11.928666670</td>
      <td>2.484000000</td>
    </tr>
    <tr>
      <td>## NG_16</td>
      <td>Non-Guttural</td>
      <td>25.05967</td>
      <td>12.536333</td>
      <td>14.516333</td>
      <td>12.899666670</td>
      <td>7.667000000</td>
    </tr>
    <tr>
      <td>## NG_17</td>
      <td>Non-Guttural</td>
      <td>26.61183</td>
      <td>12.127500</td>
      <td>12.861667</td>
      <td>11.781833330</td>
      <td>4.381500000</td>
    </tr>
    <tr>
      <td>## NG_18</td>
      <td>Non-Guttural</td>
      <td>26.61433</td>
      <td>10.864833</td>
      <td>15.538167</td>
      <td>14.123166670</td>
      <td>5.650166667</td>
    </tr>
    <tr>
      <td>## NG_19</td>
      <td>Non-Guttural</td>
      <td>23.95433</td>
      <td>7.348667</td>
      <td>16.878500</td>
      <td>18.941000000</td>
      <td>13.212833330</td>
    </tr>
    <tr>
      <td>## NG_20</td>
      <td>Non-Guttural</td>
      <td>23.43967</td>
      <td>10.969000</td>
      <td>14.669500</td>
      <td>15.393333330</td>
      <td>13.329833330</td>
    </tr>
    <tr>
      <td>## NG_21</td>
      <td>Non-Guttural</td>
      <td>25.63433</td>
      <td>10.976333</td>
      <td>14.379333</td>
      <td>15.244166670</td>
      <td>6.611833333</td>
    </tr>
    <tr>
      <td>## NG_22</td>
      <td>Non-Guttural</td>
      <td>24.31100</td>
      <td>4.508167</td>
      <td>18.376500</td>
      <td>22.098166670</td>
      <td>6.473666667</td>
    </tr>
    <tr>
      <td>## NG_23</td>
      <td>Non-Guttural</td>
      <td>25.07700</td>
      <td>11.535167</td>
      <td>12.896667</td>
      <td>15.099833330</td>
      <td>2.121500000</td>
    </tr>
    <tr>
      <td>## NG_24</td>
      <td>Non-Guttural</td>
      <td>26.55767</td>
      <td>5.499167</td>
      <td>16.417500</td>
      <td>19.490666670</td>
      <td>8.199833333</td>
    </tr>
    <tr>
      <td>## NG_25</td>
      <td>Non-Guttural</td>
      <td>27.81867</td>
      <td>11.329667</td>
      <td>13.512167</td>
      <td>15.187500000</td>
      <td>5.532000000</td>
    </tr>
    <tr>
      <td>## NG_26</td>
      <td>Non-Guttural</td>
      <td>29.04250</td>
      <td>11.006333</td>
      <td>13.870833</td>
      <td>13.934000000</td>
      <td>7.489500000</td>
    </tr>
    <tr>
      <td>## NG_27</td>
      <td>Non-Guttural</td>
      <td>26.82083</td>
      <td>6.758833</td>
      <td>18.347667</td>
      <td>18.028166670</td>
      <td>10.856166670</td>
    </tr>
    <tr>
      <td>## NG_28</td>
      <td>Non-Guttural</td>
      <td>22.96883</td>
      <td>4.981167</td>
      <td>19.396167</td>
      <td>16.409833330</td>
      <td>14.987000000</td>
    </tr>
    <tr>
      <td>## NG_29</td>
      <td>Non-Guttural</td>
      <td>25.53067</td>
      <td>7.686500</td>
      <td>15.545333</td>
      <td>14.980666670</td>
      <td>9.157333333</td>
    </tr>
    <tr>
      <td>## NG_30</td>
      <td>Non-Guttural</td>
      <td>23.66800</td>
      <td>6.248167</td>
      <td>19.746167</td>
      <td>19.210500000</td>
      <td>12.740333330</td>
    </tr>
    <tr>
      <td>## NG_31</td>
      <td>Non-Guttural</td>
      <td>26.66717</td>
      <td>11.725333</td>
      <td>13.139333</td>
      <td>13.191833330</td>
      <td>5.743500000</td>
    </tr>
    <tr>
      <td>## NG_32</td>
      <td>Non-Guttural</td>
      <td>26.96467</td>
      <td>11.060167</td>
      <td>12.093667</td>
      <td>12.776000000</td>
      <td>1.340333333</td>
    </tr>
  </tbody>
</table>
<table>
  <tr>
    <td>NG_33</td>
    <td>Non-Guttural</td>
    <td>26.62967</td>
    <td>8.083667</td>
    <td>14.019667</td>
    <td>15.490166670</td>
    <td>8.850500000</td>
  </tr>
  <tr>
    <td>NG_34</td>
    <td>Non-Guttural</td>
    <td>24.69067</td>
    <td>6.106667</td>
    <td>8.592000</td>
    <td>8.159000000</td>
    <td>1.235000000</td>
  </tr>
  <tr>
    <td>NG_35</td>
    <td>Non-Guttural</td>
    <td>25.72433</td>
    <td>4.574833</td>
    <td>7.871167</td>
    <td>8.519500000</td>
    <td>3.510666667</td>
  </tr>
  <tr>
    <td>NG_36</td>
    <td>Non-Guttural</td>
    <td>24.11350</td>
    <td>3.181833</td>
    <td>13.036167</td>
    <td>9.018833333</td>
    <td>5.903000000</td>
  </tr>
  <tr>
    <td>NG_37</td>
    <td>Non-Guttural</td>
    <td>30.57733</td>
    <td>7.051833</td>
    <td>7.373333</td>
    <td>6.967666667</td>
    <td>-1.704666667</td>
  </tr>
  <tr>
    <td>NG_38</td>
    <td>Non-Guttural</td>
    <td>27.60683</td>
    <td>5.991000</td>
    <td>9.562333</td>
    <td>5.578333333</td>
    <td>0.553166667</td>
  </tr>
  <tr>
    <td>NG_39</td>
    <td>Non-Guttural</td>
    <td>26.13967</td>
    <td>3.363500</td>
    <td>11.454500</td>
    <td>8.020500000</td>
    <td>3.913333333</td>
  </tr>
  <tr>
    <td>NG_40</td>
    <td>Non-Guttural</td>
    <td>25.15317</td>
    <td>2.568333</td>
    <td>11.506500</td>
    <td>18.011000000</td>
    <td>9.935000000</td>
  </tr>
  <tr>
    <td>NG_41</td>
    <td>Non-Guttural</td>
    <td>26.02500</td>
    <td>3.745500</td>
    <td>10.390000</td>
    <td>11.030666670</td>
    <td>7.748166667</td>
  </tr>
  <tr>
    <td>NG_42</td>
    <td>Non-Guttural</td>
    <td>24.54367</td>
    <td>3.234500</td>
    <td>11.588167</td>
    <td>10.592666670</td>
    <td>7.614666667</td>
  </tr>
  <tr>
    <td>NG_43</td>
    <td>Non-Guttural</td>
    <td>28.41117</td>
    <td>8.846833</td>
    <td>6.874000</td>
    <td>6.418166667</td>
    <td>-8.700166667</td>
  </tr>
  <tr>
    <td>NG_44</td>
    <td>Non-Guttural</td>
    <td>26.49267</td>
    <td>6.128000</td>
    <td>7.011000</td>
    <td>7.993833333</td>
    <td>-2.919333333</td>
  </tr>
  <tr>
    <td>NG_45</td>
    <td>Non-Guttural</td>
    <td>24.41833</td>
    <td>3.239500</td>
    <td>12.250667</td>
    <td>10.178833330</td>
    <td>-1.256666667</td>
  </tr>
  <tr>
    <td>NG_46</td>
    <td>Non-Guttural</td>
    <td>24.16683</td>
    <td>6.671667</td>
    <td>4.600833</td>
    <td>-0.120166667</td>
    <td>-1.578000000</td>
  </tr>
  <tr>
    <td>NG_47</td>
    <td>Non-Guttural</td>
    <td>23.25067</td>
    <td>3.877000</td>
    <td>8.227667</td>
    <td>7.162833333</td>
    <td>1.337500000</td>
  </tr>
  <tr>
    <td>NG_48</td>
    <td>Non-Guttural</td>
    <td>24.27583</td>
    <td>4.007333</td>
    <td>7.906333</td>
    <td>0.568000000</td>
    <td>-0.832833333</td>
  </tr>
  <tr>
    <td>NG_49</td>
    <td>Non-Guttural</td>
    <td>29.32683</td>
    <td>5.813833</td>
    <td>11.466667</td>
    <td>6.207500000</td>
    <td>4.961166667</td>
  </tr>
  <tr>
    <td>NG_50</td>
    <td>Non-Guttural</td>
    <td>25.33917</td>
    <td>4.640667</td>
    <td>13.811000</td>
    <td>8.075333333</td>
    <td>8.913333333</td>
  </tr>
  <tr>
    <td>NG_51</td>
    <td>Non-Guttural</td>
    <td>27.04983</td>
    <td>5.339333</td>
    <td>13.711167</td>
    <td>9.962000000</td>
    <td>13.010500000</td>
  </tr>
  <tr>
    <td>NG_52</td>
    <td>Non-Guttural</td>
    <td>27.32333</td>
    <td>6.903167</td>
    <td>7.480833</td>
    <td>2.701500000</td>
    <td>-0.574333333</td>
  </tr>
  <tr>
    <td>NG_53</td>
    <td>Non-Guttural</td>
    <td>26.63633</td>
    <td>4.175333</td>
    <td>9.600667</td>
    <td>4.290000000</td>
    <td>-0.915000000</td>
  </tr>
  <tr>
    <td>NG_54</td>
    <td>Non-Guttural</td>
    <td>25.47767</td>
    <td>3.714333</td>
    <td>10.954167</td>
    <td>4.741333333</td>
    <td>2.323333333</td>
  </tr>
  <tr>
    <td>NG_55</td>
    <td>Non-Guttural</td>
    <td>25.74400</td>
    <td>9.338500</td>
    <td>7.704333</td>
    <td>3.016666667</td>
    <td>0.651833333</td>
  </tr>
  <tr>
    <td>NG_56</td>
    <td>Non-Guttural</td>
    <td>29.08683</td>
    <td>4.812000</td>
    <td>10.781000</td>
    <td>5.438166667</td>
    <td>3.640000000</td>
  </tr>
  <tr>
    <td>NG_57</td>
    <td>Non-Guttural</td>
    <td>26.24767</td>
    <td>3.497500</td>
    <td>15.228667</td>
    <td>7.074833333</td>
    <td>7.253833333</td>
  </tr>
  <tr>
    <td>NG_58</td>
    <td>Non-Guttural</td>
    <td>27.37167</td>
    <td>3.312500</td>
    <td>11.466000</td>
    <td>6.596000000</td>
    <td>1.450166667</td>
  </tr>
  <tr>
    <td>NG_59</td>
    <td>Non-Guttural</td>
    <td>24.58683</td>
    <td>5.653167</td>
    <td>11.092667</td>
    <td>3.370666667</td>
    <td>3.145833333</td>
  </tr>
  <tr>
    <td>NG_60</td>
    <td>Non-Guttural</td>
    <td>26.87833</td>
    <td>2.803500</td>
    <td>13.647833</td>
    <td>11.181666670</td>
    <td>8.717333333</td>
  </tr>
  <tr>
    <td>NG_61</td>
    <td>Non-Guttural</td>
    <td>27.26067</td>
    <td>5.609833</td>
    <td>14.263833</td>
    <td>6.475000000</td>
    <td>5.524000000</td>
  </tr>
  <tr>
    <td>NG_62</td>
    <td>Non-Guttural</td>
    <td>28.50967</td>
    <td>5.737333</td>
    <td>10.486667</td>
    <td>6.993333333</td>
    <td>4.893666667</td>
  </tr>
  <tr>
    <td>NG_63</td>
    <td>Non-Guttural</td>
    <td>26.56683</td>
    <td>6.459833</td>
    <td>10.172667</td>
    <td>8.224833333</td>
    <td>4.001000000</td>
  </tr>
  <tr>
    <td>NG_64</td>
    <td>Non-Guttural</td>
    <td>27.43500</td>
    <td>4.662000</td>
    <td>12.668167</td>
    <td>7.665500000</td>
    <td>-3.137666667</td>
  </tr>
  <tr>
    <td>NG_65</td>
    <td>Non-Guttural</td>
    <td>29.59383</td>
    <td>3.762833</td>
    <td>11.574333</td>
    <td>7.884666667</td>
    <td>-0.846833333</td>
  </tr>
  <tr>
    <td>NG_66</td>
    <td>Non-Guttural</td>
    <td>26.18617</td>
    <td>3.032333</td>
    <td>13.792000</td>
    <td>11.128500000</td>
    <td>6.466500000</td>
  </tr>
  <tr>
    <td>NG_67</td>
    <td>Non-Guttural</td>
    <td>29.05317</td>
    <td>5.169333</td>
    <td>10.339667</td>
    <td>3.377666667</td>
    <td>2.195666667</td>
  </tr>
  <tr>
    <td>NG_68</td>
    <td>Non-Guttural</td>
    <td>27.09300</td>
    <td>3.857667</td>
    <td>9.550667</td>
    <td>1.066166667</td>
    <td>-0.803166667</td>
  </tr>
  <tr>
    <td>NG_69</td>
    <td>Non-Guttural</td>
    <td>25.29350</td>
    <td>2.758833</td>
    <td>12.634500</td>
    <td>4.015833333</td>
    <td>2.710000000</td>
  </tr>
  <tr>
    <td>NG_70</td>
    <td>Non-Guttural</td>
    <td>28.32850</td>
    <td>12.116500</td>
    <td>14.467000</td>
    <td>10.857000000</td>
    <td>3.209500000</td>
  </tr>
  <tr>
    <td>NG_71</td>
    <td>Non-Guttural</td>
    <td>24.34317</td>
    <td>11.691167</td>
    <td>13.870167</td>
    <td>12.934833330</td>
    <td>6.137833333</td>
  </tr>
  <tr>
    <td>NG_72</td>
    <td>Non-Guttural</td>
    <td>24.46417</td>
    <td>10.887333</td>
    <td>15.570667</td>
    <td>9.909833333</td>
    <td>9.255666667</td>
  </tr>
  <tr>
    <td>NG_73</td>
    <td>Non-Guttural</td>
    <td>26.21267</td>
    <td>5.558500</td>
    <td>9.049667</td>
    <td>8.287333333</td>
    <td>-4.446000000</td>
  </tr>
  <tr>
    <td>NG_74</td>
    <td>Non-Guttural</td>
    <td>25.68183</td>
    <td>4.233333</td>
    <td>9.545667</td>
    <td>9.924833333</td>
    <td>-3.244333333</td>
  </tr>
  <tr>
    <td>NG_75</td>
    <td>Non-Guttural</td>
    <td>26.11433</td>
    <td>4.040667</td>
    <td>10.458667</td>
    <td>9.241666667</td>
    <td>-3.926833333</td>
  </tr>
  <tr>
    <td>NG_76</td>
    <td>Non-Guttural</td>
    <td>24.88983</td>
    <td>6.653667</td>
    <td>9.065333</td>
    <td>16.569166670</td>
    <td>6.808666667</td>
  </tr>
  <tr>
    <td>NG_77</td>
    <td>Non-Guttural</td>
    <td>26.54100</td>
    <td>4.709333</td>
    <td>11.351833</td>
    <td>17.684666670</td>
    <td>4.975500000</td>
  </tr>
  <tr>
    <td>NG_78</td>
    <td>Non-Guttural</td>
    <td>23.95567</td>
    <td>5.463833</td>
    <td>9.667500</td>
    <td>21.250500000</td>
    <td>7.528666667</td>
  </tr>
</table>
<table>
  <tr>
    <td>NG_79</td>
    <td>Non-Guttural</td>
    <td>26.66633</td>
    <td>4.984833</td>
    <td>13.144000</td>
    <td>18.261166670</td>
    <td>6.928333333</td>
  </tr>
  <tr>
    <td>NG_80</td>
    <td>Non-Guttural</td>
    <td>27.99350</td>
    <td>5.713000</td>
    <td>12.827833</td>
    <td>19.188000000</td>
    <td>4.357833333</td>
  </tr>
  <tr>
    <td>NG_81</td>
    <td>Non-Guttural</td>
    <td>24.71650</td>
    <td>3.642000</td>
    <td>12.341333</td>
    <td>21.527333330</td>
    <td>4.998500000</td>
  </tr>
  <tr>
    <td>NG_82</td>
    <td>Non-Guttural</td>
    <td>25.54133</td>
    <td>7.290000</td>
    <td>6.780667</td>
    <td>12.424000000</td>
    <td>1.767000000</td>
  </tr>
  <tr>
    <td>NG_83</td>
    <td>Non-Guttural</td>
    <td>27.33917</td>
    <td>6.197833</td>
    <td>8.701333</td>
    <td>10.020333330</td>
    <td>2.154333333</td>
  </tr>
  <tr>
    <td>NG_84</td>
    <td>Non-Guttural</td>
    <td>24.67367</td>
    <td>5.048667</td>
    <td>11.363667</td>
    <td>14.783500000</td>
    <td>4.100500000</td>
  </tr>
  <tr>
    <td>NG_85</td>
    <td>Non-Guttural</td>
    <td>29.24217</td>
    <td>8.006167</td>
    <td>10.012167</td>
    <td>16.728333330</td>
    <td>3.632000000</td>
  </tr>
  <tr>
    <td>NG_86</td>
    <td>Non-Guttural</td>
    <td>29.19667</td>
    <td>5.913333</td>
    <td>9.984000</td>
    <td>18.769833330</td>
    <td>8.563833333</td>
  </tr>
  <tr>
    <td>NG_87</td>
    <td>Non-Guttural</td>
    <td>27.56500</td>
    <td>4.373167</td>
    <td>13.130000</td>
    <td>16.932666670</td>
    <td>9.411000000</td>
  </tr>
  <tr>
    <td>NG_88</td>
    <td>Non-Guttural</td>
    <td>23.90683</td>
    <td>9.028500</td>
    <td>8.854500</td>
    <td>14.356000000</td>
    <td>4.149666667</td>
  </tr>
  <tr>
    <td>NG_89</td>
    <td>Non-Guttural</td>
    <td>21.97650</td>
    <td>7.788667</td>
    <td>9.060333</td>
    <td>15.173500000</td>
    <td>5.204333333</td>
  </tr>
  <tr>
    <td>NG_90</td>
    <td>Non-Guttural</td>
    <td>22.54800</td>
    <td>5.600167</td>
    <td>11.030333</td>
    <td>13.218000000</td>
    <td>5.301666667</td>
  </tr>
  <tr>
    <td>NG_91</td>
    <td>Non-Guttural</td>
    <td>26.47433</td>
    <td>8.424167</td>
    <td>10.604667</td>
    <td>16.879500000</td>
    <td>6.652500000</td>
  </tr>
  <tr>
    <td>NG_92</td>
    <td>Non-Guttural</td>
    <td>24.31217</td>
    <td>6.381333</td>
    <td>11.557667</td>
    <td>19.339500000</td>
    <td>10.514666670</td>
  </tr>
  <tr>
    <td>NG_93</td>
    <td>Non-Guttural</td>
    <td>22.62950</td>
    <td>5.164500</td>
    <td>11.999000</td>
    <td>21.930666670</td>
    <td>12.044833330</td>
  </tr>
  <tr>
    <td>NG_94</td>
    <td>Non-Guttural</td>
    <td>26.57400</td>
    <td>3.860333</td>
    <td>12.367500</td>
    <td>18.935166670</td>
    <td>8.448333333</td>
  </tr>
  <tr>
    <td>NG_95</td>
    <td>Non-Guttural</td>
    <td>26.37383</td>
    <td>3.078167</td>
    <td>10.837167</td>
    <td>18.531000000</td>
    <td>7.170833333</td>
  </tr>
  <tr>
    <td>NG_96</td>
    <td>Non-Guttural</td>
    <td>24.28133</td>
    <td>3.012833</td>
    <td>11.280833</td>
    <td>20.740666670</td>
    <td>7.536833333</td>
  </tr>
  <tr>
    <td>NG_97</td>
    <td>Non-Guttural</td>
    <td>28.07583</td>
    <td>4.469667</td>
    <td>12.426333</td>
    <td>19.959000000</td>
    <td>7.630833333</td>
  </tr>
  <tr>
    <td>NG_98</td>
    <td>Non-Guttural</td>
    <td>27.45567</td>
    <td>4.830833</td>
    <td>11.556333</td>
    <td>19.525333330</td>
    <td>5.117166667</td>
  </tr>
  <tr>
    <td>NG_99</td>
    <td>Non-Guttural</td>
    <td>26.49200</td>
    <td>3.928667</td>
    <td>12.407500</td>
    <td>21.715500000</td>
    <td>9.161833333</td>
  </tr>
  <tr>
    <td>NG_100</td>
    <td>Non-Guttural</td>
    <td>24.76000</td>
    <td>4.103833</td>
    <td>14.863333</td>
    <td>19.551000000</td>
    <td>3.705666667</td>
  </tr>
  <tr>
    <td>NG_101</td>
    <td>Non-Guttural</td>
    <td>23.46633</td>
    <td>2.912167</td>
    <td>13.396667</td>
    <td>20.008166670</td>
    <td>9.224333333</td>
  </tr>
  <tr>
    <td>NG_102</td>
    <td>Non-Guttural</td>
    <td>21.59767</td>
    <td>5.204333</td>
    <td>9.743667</td>
    <td>17.351333330</td>
    <td>9.034000000</td>
  </tr>
  <tr>
    <td>NG_103</td>
    <td>Non-Guttural</td>
    <td>26.00817</td>
    <td>4.865167</td>
    <td>14.285667</td>
    <td>17.119333330</td>
    <td>4.876833333</td>
  </tr>
  <tr>
    <td>NG_104</td>
    <td>Non-Guttural</td>
    <td>28.67700</td>
    <td>8.260500</td>
    <td>10.174500</td>
    <td>20.857500000</td>
    <td>0.562333333</td>
  </tr>
  <tr>
    <td>NG_105</td>
    <td>Non-Guttural</td>
    <td>26.31983</td>
    <td>5.711500</td>
    <td>12.771500</td>
    <td>20.098166670</td>
    <td>9.439333333</td>
  </tr>
  <tr>
    <td>NG_106</td>
    <td>Non-Guttural</td>
    <td>26.01033</td>
    <td>5.482500</td>
    <td>12.953667</td>
    <td>15.832333330</td>
    <td>10.929500000</td>
  </tr>
  <tr>
    <td>NG_107</td>
    <td>Non-Guttural</td>
    <td>21.29450</td>
    <td>4.366833</td>
    <td>12.714333</td>
    <td>19.271000000</td>
    <td>9.822666667</td>
  </tr>
  <tr>
    <td>NG_108</td>
    <td>Non-Guttural</td>
    <td>24.55833</td>
    <td>4.616500</td>
    <td>11.434167</td>
    <td>18.651166670</td>
    <td>8.548166667</td>
  </tr>
  <tr>
    <td>NG_109</td>
    <td>Non-Guttural</td>
    <td>24.81783</td>
    <td>4.556167</td>
    <td>10.784833</td>
    <td>16.790000000</td>
    <td>7.157000000</td>
  </tr>
  <tr>
    <td>NG_110</td>
    <td>Non-Guttural</td>
    <td>26.30900</td>
    <td>4.567167</td>
    <td>11.697833</td>
    <td>16.128833330</td>
    <td>7.021166667</td>
  </tr>
  <tr>
    <td>NG_111</td>
    <td>Non-Guttural</td>
    <td>25.04217</td>
    <td>3.580500</td>
    <td>10.637000</td>
    <td>17.855333330</td>
    <td>12.307833330</td>
  </tr>
  <tr>
    <td>NG_112</td>
    <td>Non-Guttural</td>
    <td>24.37050</td>
    <td>3.520000</td>
    <td>13.082333</td>
    <td>19.830000000</td>
    <td>9.381333333</td>
  </tr>
  <tr>
    <td>NG_113</td>
    <td>Non-Guttural</td>
    <td>25.22233</td>
    <td>4.120333</td>
    <td>11.978167</td>
    <td>18.515666670</td>
    <td>6.480333333</td>
  </tr>
  <tr>
    <td>NG_114</td>
    <td>Non-Guttural</td>
    <td>24.92917</td>
    <td>3.264500</td>
    <td>11.562500</td>
    <td>22.429833330</td>
    <td>12.487000000</td>
  </tr>
  <tr>
    <td>NG_115</td>
    <td>Non-Guttural</td>
    <td>27.99350</td>
    <td>6.895500</td>
    <td>20.417167</td>
    <td>12.701333330</td>
    <td>5.435666667</td>
  </tr>
  <tr>
    <td>NG_116</td>
    <td>Non-Guttural</td>
    <td>28.26583</td>
    <td>6.215667</td>
    <td>23.833500</td>
    <td>12.624833330</td>
    <td>3.039166667</td>
  </tr>
  <tr>
    <td>NG_117</td>
    <td>Non-Guttural</td>
    <td>28.38250</td>
    <td>7.515833</td>
    <td>20.183167</td>
    <td>12.477666670</td>
    <td>3.980166667</td>
  </tr>
  <tr>
    <td>NG_118</td>
    <td>Non-Guttural</td>
    <td>28.70967</td>
    <td>13.822667</td>
    <td>18.163333</td>
    <td>9.525333333</td>
    <td>2.062500000</td>
  </tr>
  <tr>
    <td>NG_119</td>
    <td>Non-Guttural</td>
    <td>28.25850</td>
    <td>7.286667</td>
    <td>24.426833</td>
    <td>13.397500000</td>
    <td>5.960833333</td>
  </tr>
  <tr>
    <td>NG_120</td>
    <td>Non-Guttural</td>
    <td>28.07450</td>
    <td>6.862333</td>
    <td>16.141333</td>
    <td>11.806333330</td>
    <td>1.117000000</td>
  </tr>
  <tr>
    <td>NG_121</td>
    <td>Non-Guttural</td>
    <td>28.47600</td>
    <td>7.796500</td>
    <td>22.249667</td>
    <td>13.511166670</td>
    <td>3.364833333</td>
  </tr>
  <tr>
    <td>NG_122</td>
    <td>Non-Guttural</td>
    <td>29.22017</td>
    <td>7.038000</td>
    <td>25.526333</td>
    <td>13.028000000</td>
    <td>6.248000000</td>
  </tr>
  <tr>
    <td>NG_123</td>
    <td>Non-Guttural</td>
    <td>27.98533</td>
    <td>4.661500</td>
    <td>27.643833</td>
    <td>15.265500000</td>
    <td>7.203666667</td>
  </tr>
  <tr>
    <td>NG_124</td>
    <td>Non-Guttural</td>
    <td>28.51350</td>
    <td>9.756167</td>
    <td>24.920167</td>
    <td>12.963000000</td>
    <td>6.842333333</td>
  </tr>
</table>
<table>
  <tr>
    <td>NG_125</td>
    <td>Non-Guttural</td>
    <td>27.50600</td>
    <td>6.901000</td>
    <td>22.562000</td>
    <td>15.497000000</td>
    <td>5.689833333</td>
  </tr>
  <tr>
    <td>NG_126</td>
    <td>Non-Guttural</td>
    <td>29.84067</td>
    <td>8.606333</td>
    <td>19.253333</td>
    <td>13.739333330</td>
    <td>5.873833333</td>
  </tr>
  <tr>
    <td>NG_127</td>
    <td>Non-Guttural</td>
    <td>29.60283</td>
    <td>13.567333</td>
    <td>23.640000</td>
    <td>13.932000000</td>
    <td>1.803833333</td>
  </tr>
  <tr>
    <td>NG_128</td>
    <td>Non-Guttural</td>
    <td>27.99817</td>
    <td>11.915333</td>
    <td>22.530000</td>
    <td>10.153666670</td>
    <td>1.205333333</td>
  </tr>
  <tr>
    <td>NG_129</td>
    <td>Non-Guttural</td>
    <td>28.94650</td>
    <td>10.542833</td>
    <td>23.400667</td>
    <td>10.932833330</td>
    <td>4.659833333</td>
  </tr>
  <tr>
    <td>NG_130</td>
    <td>Non-Guttural</td>
    <td>29.67467</td>
    <td>9.882667</td>
    <td>26.189167</td>
    <td>13.164333330</td>
    <td>2.516833333</td>
  </tr>
  <tr>
    <td>NG_131</td>
    <td>Non-Guttural</td>
    <td>29.11733</td>
    <td>7.010500</td>
    <td>24.920167</td>
    <td>14.010666670</td>
    <td>6.071333333</td>
  </tr>
  <tr>
    <td>NG_132</td>
    <td>Non-Guttural</td>
    <td>28.17383</td>
    <td>6.522167</td>
    <td>26.094833</td>
    <td>13.766666670</td>
    <td>7.034333333</td>
  </tr>
  <tr>
    <td>NG_133</td>
    <td>Non-Guttural</td>
    <td>27.62533</td>
    <td>5.346500</td>
    <td>23.067500</td>
    <td>14.845000000</td>
    <td>6.985833333</td>
  </tr>
  <tr>
    <td>NG_134</td>
    <td>Non-Guttural</td>
    <td>28.56600</td>
    <td>5.463500</td>
    <td>24.854833</td>
    <td>14.541000000</td>
    <td>5.966500000</td>
  </tr>
  <tr>
    <td>NG_135</td>
    <td>Non-Guttural</td>
    <td>27.13600</td>
    <td>4.307833</td>
    <td>25.313000</td>
    <td>16.179333330</td>
    <td>6.679500000</td>
  </tr>
  <tr>
    <td>NG_136</td>
    <td>Non-Guttural</td>
    <td>27.21617</td>
    <td>7.673000</td>
    <td>23.320167</td>
    <td>15.512000000</td>
    <td>5.498333333</td>
  </tr>
  <tr>
    <td>NG_137</td>
    <td>Non-Guttural</td>
    <td>28.83483</td>
    <td>7.887500</td>
    <td>23.693000</td>
    <td>15.639166670</td>
    <td>5.946500000</td>
  </tr>
  <tr>
    <td>NG_138</td>
    <td>Non-Guttural</td>
    <td>29.29917</td>
    <td>5.879500</td>
    <td>22.030000</td>
    <td>17.278500000</td>
    <td>5.016833333</td>
  </tr>
  <tr>
    <td>NG_139</td>
    <td>Non-Guttural</td>
    <td>28.75233</td>
    <td>5.777000</td>
    <td>23.782833</td>
    <td>16.304833330</td>
    <td>3.681166667</td>
  </tr>
  <tr>
    <td>NG_140</td>
    <td>Non-Guttural</td>
    <td>27.93483</td>
    <td>3.282333</td>
    <td>25.097333</td>
    <td>14.726833330</td>
    <td>6.115166667</td>
  </tr>
  <tr>
    <td>NG_141</td>
    <td>Non-Guttural</td>
    <td>28.63533</td>
    <td>7.786000</td>
    <td>23.242500</td>
    <td>13.084666670</td>
    <td>2.763500000</td>
  </tr>
  <tr>
    <td>NG_142</td>
    <td>Non-Guttural</td>
    <td>28.91217</td>
    <td>8.225167</td>
    <td>23.134167</td>
    <td>11.465833330</td>
    <td>0.135166667</td>
  </tr>
  <tr>
    <td>NG_143</td>
    <td>Non-Guttural</td>
    <td>27.51900</td>
    <td>3.839833</td>
    <td>25.290167</td>
    <td>14.159000000</td>
    <td>1.958666667</td>
  </tr>
  <tr>
    <td>NG_144</td>
    <td>Non-Guttural</td>
    <td>27.89817</td>
    <td>3.951500</td>
    <td>28.959667</td>
    <td>15.145666670</td>
    <td>4.723333333</td>
  </tr>
  <tr>
    <td>NG_145</td>
    <td>Non-Guttural</td>
    <td>26.36933</td>
    <td>4.028500</td>
    <td>27.868500</td>
    <td>20.075333330</td>
    <td>7.695166667</td>
  </tr>
  <tr>
    <td>NG_146</td>
    <td>Non-Guttural</td>
    <td>25.84017</td>
    <td>2.847833</td>
    <td>27.947667</td>
    <td>23.278833330</td>
    <td>13.335000000</td>
  </tr>
  <tr>
    <td>NG_147</td>
    <td>Non-Guttural</td>
    <td>26.99250</td>
    <td>3.007000</td>
    <td>26.459833</td>
    <td>20.809333330</td>
    <td>13.371666670</td>
  </tr>
  <tr>
    <td>NG_148</td>
    <td>Non-Guttural</td>
    <td>29.39050</td>
    <td>5.141667</td>
    <td>23.422000</td>
    <td>19.381833330</td>
    <td>6.430166667</td>
  </tr>
  <tr>
    <td>NG_149</td>
    <td>Non-Guttural</td>
    <td>29.40583</td>
    <td>3.672667</td>
    <td>25.553167</td>
    <td>18.268166670</td>
    <td>6.130666667</td>
  </tr>
  <tr>
    <td>NG_150</td>
    <td>Non-Guttural</td>
    <td>28.38817</td>
    <td>3.553667</td>
    <td>27.168500</td>
    <td>19.247500000</td>
    <td>6.381166667</td>
  </tr>
  <tr>
    <td>NG_151</td>
    <td>Non-Guttural</td>
    <td>28.57833</td>
    <td>2.681167</td>
    <td>24.477333</td>
    <td>-1.199666667</td>
    <td>3.323833333</td>
  </tr>
  <tr>
    <td>NG_152</td>
    <td>Non-Guttural</td>
    <td>28.48317</td>
    <td>2.306333</td>
    <td>24.009833</td>
    <td>-0.65266667</td>
    <td>5.383000000</td>
  </tr>
  <tr>
    <td>NG_153</td>
    <td>Non-Guttural</td>
    <td>27.22167</td>
    <td>2.530000</td>
    <td>23.262833</td>
    <td>1.376333333</td>
    <td>3.738000000</td>
  </tr>
  <tr>
    <td>NG_154</td>
    <td>Non-Guttural</td>
    <td>28.03433</td>
    <td>3.382500</td>
    <td>21.762333</td>
    <td>2.393166667</td>
    <td>6.604166667</td>
  </tr>
  <tr>
    <td>NG_155</td>
    <td>Non-Guttural</td>
    <td>27.74083</td>
    <td>2.776333</td>
    <td>19.556333</td>
    <td>-3.900333333</td>
    <td>4.047166667</td>
  </tr>
  <tr>
    <td>NG_156</td>
    <td>Non-Guttural</td>
    <td>27.78717</td>
    <td>2.921333</td>
    <td>22.681000</td>
    <td>-2.031666667</td>
    <td>6.035000000</td>
  </tr>
  <tr>
    <td>NG_157</td>
    <td>Non-Guttural</td>
    <td>28.87100</td>
    <td>2.242333</td>
    <td>18.245167</td>
    <td>-4.571833333</td>
    <td>0.999666667</td>
  </tr>
  <tr>
    <td>NG_158</td>
    <td>Non-Guttural</td>
    <td>28.09217</td>
    <td>1.799667</td>
    <td>16.068000</td>
    <td>-2.044666667</td>
    <td>1.927833333</td>
  </tr>
  <tr>
    <td>NG_159</td>
    <td>Non-Guttural</td>
    <td>28.66383</td>
    <td>1.522167</td>
    <td>21.769167</td>
    <td>-2.457833333</td>
    <td>5.193833333</td>
  </tr>
  <tr>
    <td>NG_160</td>
    <td>Non-Guttural</td>
    <td>28.53233</td>
    <td>2.594667</td>
    <td>20.048667</td>
    <td>-3.814166667</td>
    <td>3.102000000</td>
  </tr>
  <tr>
    <td>NG_161</td>
    <td>Non-Guttural</td>
    <td>28.18650</td>
    <td>2.287167</td>
    <td>21.456333</td>
    <td>-3.537000000</td>
    <td>3.747166667</td>
  </tr>
  <tr>
    <td>NG_162</td>
    <td>Non-Guttural</td>
    <td>28.47433</td>
    <td>2.939833</td>
    <td>23.797500</td>
    <td>-4.303000000</td>
    <td>4.163833333</td>
  </tr>
  <tr>
    <td>NG_163</td>
    <td>Non-Guttural</td>
    <td>27.81667</td>
    <td>3.492500</td>
    <td>24.043667</td>
    <td>-4.423833333</td>
    <td>3.071833333</td>
  </tr>
  <tr>
    <td>NG_164</td>
    <td>Non-Guttural</td>
    <td>28.83817</td>
    <td>2.572500</td>
    <td>19.777667</td>
    <td>-3.259000000</td>
    <td>0.466500000</td>
  </tr>
  <tr>
    <td>NG_165</td>
    <td>Non-Guttural</td>
    <td>28.70950</td>
    <td>2.707333</td>
    <td>23.479000</td>
    <td>-5.562333333</td>
    <td>2.453166667</td>
  </tr>
  <tr>
    <td>NG_166</td>
    <td>Non-Guttural</td>
    <td>29.01367</td>
    <td>3.234000</td>
    <td>25.800333</td>
    <td>-2.854833333</td>
    <td>4.193000000</td>
  </tr>
  <tr>
    <td>NG_167</td>
    <td>Non-Guttural</td>
    <td>27.67017</td>
    <td>3.096833</td>
    <td>19.251500</td>
    <td>-0.743833333</td>
    <td>6.499000000</td>
  </tr>
  <tr>
    <td>NG_168</td>
    <td>Non-Guttural</td>
    <td>28.29950</td>
    <td>2.402333</td>
    <td>20.336333</td>
    <td>1.563500000</td>
    <td>6.349333333</td>
  </tr>
  <tr>
    <td>NG_169</td>
    <td>Non-Guttural</td>
    <td>27.96150</td>
    <td>2.226167</td>
    <td>17.938167</td>
    <td>-0.005833333</td>
    <td>8.148000000</td>
  </tr>
  <tr>
    <td>NG_170</td>
    <td>Non-Guttural</td>
    <td>28.62467</td>
    <td>2.284667</td>
    <td>18.381833</td>
    <td>-0.562166667</td>
    <td>9.538666667</td>
  </tr>
</table>
<table>
  <tr>
    <td>NG_171</td>
    <td>Non-Guttural</td>
    <td>25.99083</td>
    <td>2.385333</td>
    <td>19.202833</td>
    <td>2.658666667</td>
    <td>9.226500000</td>
  </tr>
  <tr>
    <td>NG_172</td>
    <td>Non-Guttural</td>
    <td>26.90433</td>
    <td>3.723167</td>
    <td>23.992167</td>
    <td>2.489333333</td>
    <td>7.842500000</td>
  </tr>
  <tr>
    <td>NG_173</td>
    <td>Non-Guttural</td>
    <td>27.02267</td>
    <td>2.750833</td>
    <td>21.974667</td>
    <td>1.670666667</td>
    <td>8.358166667</td>
  </tr>
  <tr>
    <td>NG_174</td>
    <td>Non-Guttural</td>
    <td>27.69683</td>
    <td>3.393333</td>
    <td>21.480500</td>
    <td>-0.759833333</td>
    <td>8.288833333</td>
  </tr>
  <tr>
    <td>NG_175</td>
    <td>Non-Guttural</td>
    <td>25.94333</td>
    <td>2.534667</td>
    <td>19.072000</td>
    <td>-0.647166667</td>
    <td>8.988500000</td>
  </tr>
  <tr>
    <td>NG_176</td>
    <td>Non-Guttural</td>
    <td>25.56083</td>
    <td>2.400333</td>
    <td>18.203667</td>
    <td>1.817500000</td>
    <td>7.954166667</td>
  </tr>
  <tr>
    <td>NG_177</td>
    <td>Non-Guttural</td>
    <td>26.14283</td>
    <td>2.092000</td>
    <td>18.944833</td>
    <td>1.767833333</td>
    <td>8.661000000</td>
  </tr>
  <tr>
    <td>NG_178</td>
    <td>Non-Guttural</td>
    <td>26.50933</td>
    <td>3.070000</td>
    <td>16.806833</td>
    <td>3.801833333</td>
    <td>6.878166667</td>
  </tr>
  <tr>
    <td>NG_179</td>
    <td>Non-Guttural</td>
    <td>26.31267</td>
    <td>2.549500</td>
    <td>19.620667</td>
    <td>9.671666667</td>
    <td>5.749000000</td>
  </tr>
  <tr>
    <td>NG_180</td>
    <td>Non-Guttural</td>
    <td>26.40667</td>
    <td>2.933333</td>
    <td>19.394667</td>
    <td>7.828333333</td>
    <td>4.670666667</td>
  </tr>
  <tr>
    <td>NG_181</td>
    <td>Non-Guttural</td>
    <td>27.26917</td>
    <td>3.989333</td>
    <td>20.420500</td>
    <td>-0.734333333</td>
    <td>5.886000000</td>
  </tr>
  <tr>
    <td>NG_182</td>
    <td>Non-Guttural</td>
    <td>26.98883</td>
    <td>2.929833</td>
    <td>17.468167</td>
    <td>-2.557833333</td>
    <td>6.200000000</td>
  </tr>
  <tr>
    <td>NG_183</td>
    <td>Non-Guttural</td>
    <td>26.57950</td>
    <td>2.232833</td>
    <td>18.185500</td>
    <td>2.195666667</td>
    <td>6.999166667</td>
  </tr>
  <tr>
    <td>NG_184</td>
    <td>Non-Guttural</td>
    <td>28.35300</td>
    <td>3.507833</td>
    <td>23.464500</td>
    <td>-4.969500000</td>
    <td>2.247666667</td>
  </tr>
  <tr>
    <td>NG_185</td>
    <td>Non-Guttural</td>
    <td>28.96467</td>
    <td>3.267667</td>
    <td>25.120000</td>
    <td>-2.784333333</td>
    <td>1.891833333</td>
  </tr>
  <tr>
    <td>NG_186</td>
    <td>Non-Guttural</td>
    <td>28.60633</td>
    <td>3.004167</td>
    <td>25.523167</td>
    <td>-0.392333333</td>
    <td>1.382833333</td>
  </tr>
  <tr>
    <td>NG_187</td>
    <td>Non-Guttural</td>
    <td>25.85483</td>
    <td>1.414333</td>
    <td>19.703167</td>
    <td>22.781500000</td>
    <td>4.185333333</td>
  </tr>
  <tr>
    <td>NG_188</td>
    <td>Non-Guttural</td>
    <td>24.46567</td>
    <td>2.094667</td>
    <td>17.616000</td>
    <td>18.938333330</td>
    <td>5.701166667</td>
  </tr>
  <tr>
    <td>NG_189</td>
    <td>Non-Guttural</td>
    <td>24.66500</td>
    <td>2.670500</td>
    <td>16.572333</td>
    <td>20.039000000</td>
    <td>4.347833333</td>
  </tr>
  <tr>
    <td>NG_190</td>
    <td>Non-Guttural</td>
    <td>25.94650</td>
    <td>2.146167</td>
    <td>22.827333</td>
    <td>22.386000000</td>
    <td>2.620000000</td>
  </tr>
  <tr>
    <td>NG_191</td>
    <td>Non-Guttural</td>
    <td>26.23183</td>
    <td>2.153000</td>
    <td>19.494500</td>
    <td>20.652666670</td>
    <td>5.367500000</td>
  </tr>
  <tr>
    <td>NG_192</td>
    <td>Non-Guttural</td>
    <td>26.40133</td>
    <td>2.190333</td>
    <td>18.611333</td>
    <td>21.538666670</td>
    <td>2.826833333</td>
  </tr>
  <tr>
    <td>NG_193</td>
    <td>Non-Guttural</td>
    <td>25.42800</td>
    <td>2.829500</td>
    <td>18.750833</td>
    <td>19.615833330</td>
    <td>0.937166667</td>
  </tr>
  <tr>
    <td>NG_194</td>
    <td>Non-Guttural</td>
    <td>25.78750</td>
    <td>2.564833</td>
    <td>20.486000</td>
    <td>22.783666670</td>
    <td>-1.167500000</td>
  </tr>
  <tr>
    <td>NG_195</td>
    <td>Non-Guttural</td>
    <td>26.06850</td>
    <td>2.072833</td>
    <td>17.599000</td>
    <td>26.268166670</td>
    <td>1.739166667</td>
  </tr>
  <tr>
    <td>NG_196</td>
    <td>Non-Guttural</td>
    <td>26.70833</td>
    <td>2.219667</td>
    <td>19.817667</td>
    <td>21.233500000</td>
    <td>-0.611666667</td>
  </tr>
  <tr>
    <td>NG_197</td>
    <td>Non-Guttural</td>
    <td>26.14217</td>
    <td>1.960500</td>
    <td>18.708500</td>
    <td>22.517000000</td>
    <td>1.619500000</td>
  </tr>
  <tr>
    <td>NG_198</td>
    <td>Non-Guttural</td>
    <td>25.89067</td>
    <td>2.306333</td>
    <td>18.135333</td>
    <td>22.261833330</td>
    <td>2.416833333</td>
  </tr>
  <tr>
    <td>NG_199</td>
    <td>Non-Guttural</td>
    <td>25.28083</td>
    <td>5.347667</td>
    <td>9.594000</td>
    <td>14.498333330</td>
    <td>-6.155166667</td>
  </tr>
  <tr>
    <td>NG_200</td>
    <td>Non-Guttural</td>
    <td>26.66783</td>
    <td>3.441167</td>
    <td>12.684500</td>
    <td>22.318666670</td>
    <td>-3.897500000</td>
  </tr>
  <tr>
    <td>NG_201</td>
    <td>Non-Guttural</td>
    <td>22.85400</td>
    <td>4.402667</td>
    <td>12.044667</td>
    <td>18.614166670</td>
    <td>-7.328833333</td>
  </tr>
  <tr>
    <td>NG_202</td>
    <td>Non-Guttural</td>
    <td>24.96733</td>
    <td>1.990333</td>
    <td>20.414167</td>
    <td>20.037000000</td>
    <td>2.415166667</td>
  </tr>
  <tr>
    <td>NG_203</td>
    <td>Non-Guttural</td>
    <td>24.37350</td>
    <td>2.276500</td>
    <td>18.212833</td>
    <td>18.028166670</td>
    <td>1.737500000</td>
  </tr>
  <tr>
    <td>NG_204</td>
    <td>Non-Guttural</td>
    <td>25.26600</td>
    <td>2.011833</td>
    <td>18.469500</td>
    <td>19.570666670</td>
    <td>2.208833333</td>
  </tr>
  <tr>
    <td>NG_205</td>
    <td>Non-Guttural</td>
    <td>26.01933</td>
    <td>1.395167</td>
    <td>19.864167</td>
    <td>20.812000000</td>
    <td>0.923166667</td>
  </tr>
  <tr>
    <td>NG_206</td>
    <td>Non-Guttural</td>
    <td>25.60267</td>
    <td>1.267333</td>
    <td>18.797667</td>
    <td>20.973666670</td>
    <td>2.837333333</td>
  </tr>
  <tr>
    <td>NG_207</td>
    <td>Non-Guttural</td>
    <td>25.52617</td>
    <td>1.125000</td>
    <td>18.374833</td>
    <td>21.562000000</td>
    <td>2.748333333</td>
  </tr>
  <tr>
    <td>NG_208</td>
    <td>Non-Guttural</td>
    <td>24.82533</td>
    <td>1.930667</td>
    <td>24.332000</td>
    <td>24.497500000</td>
    <td>0.170666667</td>
  </tr>
  <tr>
    <td>NG_209</td>
    <td>Non-Guttural</td>
    <td>25.79067</td>
    <td>1.972500</td>
    <td>18.954167</td>
    <td>20.797333330</td>
    <td>1.173500000</td>
  </tr>
  <tr>
    <td>NG_210</td>
    <td>Non-Guttural</td>
    <td>25.24283</td>
    <td>1.700333</td>
    <td>19.848667</td>
    <td>22.543000000</td>
    <td>0.491166667</td>
  </tr>
  <tr>
    <td>NG_211</td>
    <td>Non-Guttural</td>
    <td>26.05367</td>
    <td>3.067500</td>
    <td>18.325333</td>
    <td>16.820166670</td>
    <td>-7.218833333</td>
  </tr>
  <tr>
    <td>NG_212</td>
    <td>Non-Guttural</td>
    <td>24.88783</td>
    <td>2.690500</td>
    <td>17.581667</td>
    <td>16.932500000</td>
    <td>-6.940833333</td>
  </tr>
  <tr>
    <td>NG_213</td>
    <td>Non-Guttural</td>
    <td>26.56817</td>
    <td>2.170667</td>
    <td>17.248167</td>
    <td>17.918500000</td>
    <td>-6.753666667</td>
  </tr>
  <tr>
    <td>NG_214</td>
    <td>Non-Guttural</td>
    <td>23.99233</td>
    <td>2.611667</td>
    <td>20.132000</td>
    <td>21.252333330</td>
    <td>-2.294000000</td>
  </tr>
  <tr>
    <td>NG_215</td>
    <td>Non-Guttural</td>
    <td>26.41600</td>
    <td>2.674167</td>
    <td>16.168167</td>
    <td>18.886166670</td>
    <td>-2.857000000</td>
  </tr>
  <tr>
    <td>NG_216</td>
    <td>Non-Guttural</td>
    <td>26.05833</td>
    <td>2.737500</td>
    <td>16.789333</td>
    <td>23.457000000</td>
    <td>-2.058333333</td>
  </tr>
</table>
<table><thead><tr><th></th><th></th><th>H1H2c</th><th>H2H4c</th><th>H2KH5Kc</th><th>H42Kc</th><th>HNR05</th><th>HNR15</th></tr></thead><tbody><tr><td>##</td><td>NG_217</td><td>Non-Guttural</td><td>26.38767</td><td>3.266000</td><td>20.510000</td><td>25.062666670</td><td>-2.362500000</td></tr><tr><td>##</td><td>NG_218</td><td>Non-Guttural</td><td>24.97550</td><td>2.364833</td><td>18.243333</td><td>25.526333330</td><td>0.438166667</td></tr><tr><td>##</td><td>NG_219</td><td>Non-Guttural</td><td>26.48550</td><td>2.700000</td><td>17.667667</td><td>23.418333330</td><td>-0.697000000</td></tr><tr><td>##</td><td>NG_220</td><td>Non-Guttural</td><td>26.27800</td><td>1.507167</td><td>19.620500</td><td>20.746166670</td><td>0.351666667</td></tr><tr><td>##</td><td>NG_221</td><td>Non-Guttural</td><td>25.99100</td><td>1.527500</td><td>18.546167</td><td>21.585000000</td><td>-0.049500000</td></tr><tr><td>##</td><td>NG_222</td><td>Non-Guttural</td><td>26.33833</td><td>1.709000</td><td>17.267333</td><td>22.033000000</td><td>-3.079666667</td></tr><tr><td>##</td><td></td><td>H1H2c</td><td>H2H4c</td><td>H2KH5Kc</td><td>H42Kc</td><td>HNR05</td><td>HNR15</td></tr><tr><td>##</td><td>G_01</td><td>-1.18416667</td><td>2.646500000</td><td>23.242000</td><td>-0.793333333</td><td>15.081833</td><td>10.991667</td></tr><tr><td>##</td><td>G_02</td><td>-0.73916667</td><td>1.649500000</td><td>16.466167</td><td>3.222000000</td><td>27.608000</td><td>23.177167</td></tr><tr><td>##</td><td>G_03</td><td>-0.92833333</td><td>4.496000000</td><td>18.535167</td><td>3.877333333</td><td>8.078333</td><td>4.946667</td></tr><tr><td>##</td><td>G_04</td><td>0.78233333</td><td>2.416666667</td><td>28.222000</td><td>1.851500000</td><td>18.364667</td><td>16.286667</td></tr><tr><td>##</td><td>G_05</td><td>0.04416667</td><td>3.128000000</td><td>27.623667</td><td>3.150166667</td><td>25.314667</td><td>23.038333</td></tr><tr><td>##</td><td>G_06</td><td>1.33850000</td><td>4.508333333</td><td>21.648000</td><td>2.889000000</td><td>15.229000</td><td>12.943500</td></tr><tr><td>##</td><td>G_07</td><td>-0.21083333</td><td>2.114666667</td><td>26.275167</td><td>2.230166667</td><td>18.705167</td><td>13.381500</td></tr><tr><td>##</td><td>G_08</td><td>-0.74216667</td><td>3.409166667</td><td>19.069833</td><td>6.570833333</td><td>19.000833</td><td>14.642333</td></tr><tr><td>##</td><td>G_09</td><td>-1.58850000</td><td>3.803500000</td><td>25.612167</td><td>-2.147000000</td><td>25.133000</td><td>21.514167</td></tr><tr><td>##</td><td>G_10</td><td>0.10800000</td><td>3.495166667</td><td>22.450667</td><td>1.006833333</td><td>29.377333</td><td>27.227500</td></tr><tr><td>##</td><td>G_11</td><td>-2.28566667</td><td>6.676666667</td><td>25.583500</td><td>2.382166667</td><td>13.044500</td><td>10.373333</td></tr><tr><td>##</td><td>G_12</td><td>-0.72083333</td><td>2.354166667</td><td>26.109833</td><td>2.104833333</td><td>22.369167</td><td>19.375000</td></tr><tr><td>##</td><td>G_13</td><td>-0.93916667</td><td>0.855666667</td><td>23.298500</td><td>4.388833333</td><td>30.040167</td><td>27.740667</td></tr><tr><td>##</td><td>G_14</td><td>-0.81583333</td><td>4.024000000</td><td>22.908667</td><td>4.246166667</td><td>18.146667</td><td>15.285833</td></tr><tr><td>##</td><td>G_15</td><td>0.13466667</td><td>1.533000000</td><td>9.446167</td><td>8.176833333</td><td>30.858500</td><td>23.636667</td></tr><tr><td>##</td><td>G_16</td><td>0.32883333</td><td>2.162333333</td><td>7.853833</td><td>6.394666667</td><td>22.934833</td><td>14.947167</td></tr><tr><td>##</td><td>G_17</td><td>0.15000000</td><td>3.510666667</td><td>18.126667</td><td>4.436666667</td><td>31.771667</td><td>24.604333</td></tr><tr><td>##</td><td>G_18</td><td>1.34600000</td><td>0.380000000</td><td>14.560833</td><td>6.695000000</td><td>41.344333</td><td>34.428000</td></tr><tr><td>##</td><td>G_19</td><td>1.35650000</td><td>0.773000000</td><td>14.487000</td><td>8.992666667</td><td>36.555167</td><td>29.431500</td></tr><tr><td>##</td><td>G_20</td><td>1.88850000</td><td>1.764000000</td><td>15.787667</td><td>5.808333333</td><td>33.220167</td><td>24.685000</td></tr><tr><td>##</td><td>G_21</td><td>-1.53983333</td><td>9.407000000</td><td>17.734833</td><td>-1.510000000</td><td>19.289167</td><td>25.596833</td></tr><tr><td>##</td><td>G_22</td><td>-1.30966667</td><td>7.541000000</td><td>20.151167</td><td>5.995000000</td><td>20.163667</td><td>32.468667</td></tr><tr><td>##</td><td>G_23</td><td>-0.99216667</td><td>8.422166667</td><td>18.943667</td><td>1.456500000</td><td>14.747500</td><td>24.922833</td></tr><tr><td>##</td><td>G_24</td><td>-1.62950000</td><td>6.630166667</td><td>29.659500</td><td>4.942000000</td><td>25.472667</td><td>37.835667</td></tr><tr><td>##</td><td>G_25</td><td>-0.95983333</td><td>6.461500000</td><td>24.654833</td><td>3.320833333</td><td>27.929500</td><td>39.540333</td></tr><tr><td>##</td><td>G_26</td><td>0.96133333</td><td>6.848500000</td><td>16.891667</td><td>14.400333330</td><td>26.768167</td><td>42.110333</td></tr><tr><td>##</td><td>G_27</td><td>0.64116667</td><td>7.724333333</td><td>25.404500</td><td>-1.966000000</td><td>23.463333</td><td>28.652000</td></tr><tr><td>##</td><td>G_28</td><td>4.16483333</td><td>4.266166667</td><td>24.679333</td><td>-0.616500000</td><td>25.358667</td><td>33.115833</td></tr><tr><td>##</td><td>G_29</td><td>4.15050000</td><td>4.842666667</td><td>19.507667</td><td>0.002333333</td><td>21.651333</td><td>26.942833</td></tr><tr><td>##</td><td>G_30</td><td>-3.29816667</td><td>6.234000000</td><td>14.792833</td><td>8.148333333</td><td>18.054500</td><td>31.620500</td></tr><tr><td>##</td><td>G_31</td><td>-1.61550000</td><td>6.831166667</td><td>19.268000</td><td>4.645166667</td><td>19.870833</td><td>34.420667</td></tr><tr><td>##</td><td>G_32</td><td>-2.07916667</td><td>8.373166667</td><td>16.455500</td><td>1.597833333</td><td>12.946667</td><td>26.473167</td></tr><tr><td>##</td><td>G_33</td><td>-0.91216667</td><td>9.821000000</td><td>21.286167</td><td>-2.994500000</td><td>22.047500</td><td>29.767667</td></tr><tr><td>##</td><td>G_34</td><td>-0.53366667</td><td>9.213833333</td><td>22.791667</td><td>-1.418500000</td><td>27.841000</td><td>37.719333</td></tr><tr><td>##</td><td>G_35</td><td>2.32316667</td><td>7.363333333</td><td>23.656667</td><td>-2.794000000</td><td>22.802500</td><td>30.996833</td></tr><tr><td>##</td><td>G_36</td><td>1.21600000</td><td>4.962666667</td><td>11.007000</td><td>7.730833333</td><td>30.751000</td><td>42.490667</td></tr><tr><td>##</td><td>G_37</td><td>1.57983333</td><td>5.676166667</td><td>18.381000</td><td>2.868833333</td><td>28.251333</td><td>41.015333</td></tr><tr><td>##</td><td>G_38</td><td>1.66850000</td><td>5.854166667</td><td>11.934667</td><td>10.191166670</td><td>30.979667</td><td>42.739833</td></tr><tr><td>##</td><td>G_39</td><td>-1.32750000</td><td>7.417666667</td><td>23.661833</td><td>3.161500000</td><td>25.766333</td><td>38.381333</td></tr></tbody></table>
<table>
  <tr>
    <td>G_40</td>
    <td>-0.50850000</td>
    <td>6.803500000</td>
    <td>24.099000</td>
    <td>3.757833333</td>
    <td>24.320667</td>
    <td>35.506000</td>
  </tr>
  <tr>
    <td>G_41</td>
    <td>1.71116667</td>
    <td>1.098833333</td>
    <td>25.801667</td>
    <td>-3.272500000</td>
    <td>10.872000</td>
    <td>7.294333</td>
  </tr>
  <tr>
    <td>G_42</td>
    <td>3.46000000</td>
    <td>1.610833333</td>
    <td>24.747833</td>
    <td>2.365166667</td>
    <td>18.012167</td>
    <td>15.303000</td>
  </tr>
  <tr>
    <td>G_43</td>
    <td>1.81700000</td>
    <td>0.641333333</td>
    <td>20.969000</td>
    <td>0.253833333</td>
    <td>27.936333</td>
    <td>26.423000</td>
  </tr>
  <tr>
    <td>G_44</td>
    <td>1.88566667</td>
    <td>2.908333333</td>
    <td>24.767000</td>
    <td>0.857833333</td>
    <td>28.927833</td>
    <td>27.560333</td>
  </tr>
  <tr>
    <td>G_45</td>
    <td>-0.56616667</td>
    <td>3.987333333</td>
    <td>28.371167</td>
    <td>0.392833333</td>
    <td>16.636167</td>
    <td>16.489333</td>
  </tr>
  <tr>
    <td>G_46</td>
    <td>0.41516667</td>
    <td>0.250333333</td>
    <td>23.805500</td>
    <td>-0.323833333</td>
    <td>28.239167</td>
    <td>25.165167</td>
  </tr>
  <tr>
    <td>G_47</td>
    <td>-0.20866667</td>
    <td>0.709500000</td>
    <td>21.908500</td>
    <td>-1.577333333</td>
    <td>26.589833</td>
    <td>25.204000</td>
  </tr>
  <tr>
    <td>G_48</td>
    <td>-1.94350000</td>
    <td>4.148166667</td>
    <td>21.284167</td>
    <td>-2.804500000</td>
    <td>21.094500</td>
    <td>18.528667</td>
  </tr>
  <tr>
    <td>G_49</td>
    <td>-2.12666667</td>
    <td>4.515000000</td>
    <td>25.409833</td>
    <td>8.397666667</td>
    <td>14.509333</td>
    <td>27.408333</td>
  </tr>
  <tr>
    <td>G_50</td>
    <td>-2.53250000</td>
    <td>7.553000000</td>
    <td>21.685167</td>
    <td>5.763166667</td>
    <td>13.764333</td>
    <td>26.679500</td>
  </tr>
  <tr>
    <td>G_51</td>
    <td>-1.15600000</td>
    <td>8.275166667</td>
    <td>26.529833</td>
    <td>4.101666667</td>
    <td>21.167167</td>
    <td>35.808667</td>
  </tr>
  <tr>
    <td>G_52</td>
    <td>-0.76200000</td>
    <td>7.462166667</td>
    <td>25.199167</td>
    <td>3.609500000</td>
    <td>21.327167</td>
    <td>32.838667</td>
  </tr>
  <tr>
    <td>G_53</td>
    <td>0.31216667</td>
    <td>6.108500000</td>
    <td>23.591333</td>
    <td>1.899166667</td>
    <td>24.340000</td>
    <td>38.123167</td>
  </tr>
  <tr>
    <td>G_54</td>
    <td>0.52400000</td>
    <td>5.827166667</td>
    <td>22.172333</td>
    <td>6.007833333</td>
    <td>24.928833</td>
    <td>39.817333</td>
  </tr>
  <tr>
    <td>G_55</td>
    <td>-0.02133333</td>
    <td>6.101500000</td>
    <td>21.659333</td>
    <td>9.759000000</td>
    <td>17.261500</td>
    <td>27.762833</td>
  </tr>
  <tr>
    <td>G_56</td>
    <td>-0.74516667</td>
    <td>10.154333330</td>
    <td>21.003833</td>
    <td>3.435166667</td>
    <td>15.818167</td>
    <td>27.509000</td>
  </tr>
  <tr>
    <td>G_57</td>
    <td>-0.05383333</td>
    <td>9.668000000</td>
    <td>12.113333</td>
    <td>8.771166667</td>
    <td>16.336833</td>
    <td>28.923833</td>
  </tr>
  <tr>
    <td>G_58</td>
    <td>-1.55766667</td>
    <td>4.157666667</td>
    <td>22.9000000</td>
    <td>6.256166667</td>
    <td>10.149333</td>
    <td>23.104000</td>
  </tr>
  <tr>
    <td>G_59</td>
    <td>-1.41083333</td>
    <td>8.220833333</td>
    <td>21.955667</td>
    <td>1.373666667</td>
    <td>16.021500</td>
    <td>28.118833</td>
  </tr>
  <tr>
    <td>G_60</td>
    <td>-2.01433333</td>
    <td>6.993500000</td>
    <td>24.652333</td>
    <td>5.215166667</td>
    <td>13.813333</td>
    <td>26.774333</td>
  </tr>
  <tr>
    <td>G_61</td>
    <td>1.44333333</td>
    <td>9.507166667</td>
    <td>15.649000</td>
    <td>4.515000000</td>
    <td>17.511500</td>
    <td>29.150167</td>
  </tr>
  <tr>
    <td>G_62</td>
    <td>0.34600000</td>
    <td>7.577166667</td>
    <td>12.809500</td>
    <td>7.664166667</td>
    <td>22.579333</td>
    <td>34.291333</td>
  </tr>
  <tr>
    <td>G_63</td>
    <td>2.23900000</td>
    <td>8.552166667</td>
    <td>14.035333</td>
    <td>4.553666667</td>
    <td>17.589833</td>
    <td>29.497000</td>
  </tr>
  <tr>
    <td>G_64</td>
    <td>-1.56700000</td>
    <td>8.353166667</td>
    <td>29.901500</td>
    <td>0.094333333</td>
    <td>21.506333</td>
    <td>32.424167</td>
  </tr>
  <tr>
    <td>G_65</td>
    <td>0.18766667</td>
    <td>6.799833333</td>
    <td>27.714833</td>
    <td>1.433833333</td>
    <td>17.508500</td>
    <td>28.618833</td>
  </tr>
  <tr>
    <td>G_66</td>
    <td>0.66483333</td>
    <td>9.062000000</td>
    <td>23.913500</td>
    <td>2.167166667</td>
    <td>20.484000</td>
    <td>31.804000</td>
  </tr>
  <tr>
    <td>G_67</td>
    <td>-2.32333333</td>
    <td>5.856666667</td>
    <td>38.441833</td>
    <td>-7.817333333</td>
    <td>18.200833</td>
    <td>25.378667</td>
  </tr>
  <tr>
    <td>G_68</td>
    <td>-3.20900000</td>
    <td>10.427666670</td>
    <td>40.964167</td>
    <td>-10.571000000</td>
    <td>19.455167</td>
    <td>27.402500</td>
  </tr>
  <tr>
    <td>G_69</td>
    <td>-3.05216667</td>
    <td>9.315000000</td>
    <td>40.469667</td>
    <td>-10.542833330</td>
    <td>18.661500</td>
    <td>26.880333</td>
  </tr>
  <tr>
    <td>G_70</td>
    <td>-2.96216667</td>
    <td>9.617333333</td>
    <td>39.893833</td>
    <td>-8.393000000</td>
    <td>25.907167</td>
    <td>32.930000</td>
  </tr>
  <tr>
    <td>G_71</td>
    <td>-2.98966667</td>
    <td>8.532500000</td>
    <td>39.212167</td>
    <td>-6.672833333</td>
    <td>22.630500</td>
    <td>30.729333</td>
  </tr>
  <tr>
    <td>G_72</td>
    <td>-0.54316667</td>
    <td>6.345333333</td>
    <td>40.261000</td>
    <td>-6.115833333</td>
    <td>28.115500</td>
    <td>37.532833</td>
  </tr>
  <tr>
    <td>G_73</td>
    <td>-2.18083333</td>
    <td>8.794000000</td>
    <td>37.151500</td>
    <td>-7.079666667</td>
    <td>25.751833</td>
    <td>33.159667</td>
  </tr>
  <tr>
    <td>G_74</td>
    <td>-0.62900000</td>
    <td>8.664166667</td>
    <td>34.302833</td>
    <td>-7.596000000</td>
    <td>26.841000</td>
    <td>35.174000</td>
  </tr>
  <tr>
    <td>G_75</td>
    <td>0.41750000</td>
    <td>8.132333333</td>
    <td>32.518833</td>
    <td>-7.193166667</td>
    <td>25.933000</td>
    <td>34.408167</td>
  </tr>
  <tr>
    <td>G_76</td>
    <td>-3.96116667</td>
    <td>9.710666667</td>
    <td>40.939167</td>
    <td>-9.188500000</td>
    <td>24.077667</td>
    <td>32.630500</td>
  </tr>
  <tr>
    <td>G_77</td>
    <td>-4.02816667</td>
    <td>8.677833333</td>
    <td>42.453667</td>
    <td>-9.796000000</td>
    <td>22.419500</td>
    <td>31.794667</td>
  </tr>
  <tr>
    <td>G_78</td>
    <td>-4.14133333</td>
    <td>9.653666667</td>
    <td>41.003833</td>
    <td>-7.902500000</td>
    <td>24.931000</td>
    <td>34.358667</td>
  </tr>
  <tr>
    <td>G_79</td>
    <td>-2.37316667</td>
    <td>10.802500000</td>
    <td>38.504333</td>
    <td>-10.153166670</td>
    <td>24.808500</td>
    <td>33.350000</td>
  </tr>
  <tr>
    <td>G_80</td>
    <td>-0.89166667</td>
    <td>8.501833333</td>
    <td>37.469167</td>
    <td>-8.952666667</td>
    <td>29.397000</td>
    <td>39.100167</td>
  </tr>
  <tr>
    <td>G_81</td>
    <td>-0.31500000</td>
    <td>11.834166670</td>
    <td>38.320167</td>
    <td>-12.117333330</td>
    <td>25.054500</td>
    <td>33.821333</td>
  </tr>
  <tr>
    <td>G_82</td>
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<table>
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<table>
  <tr>
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  <tr>
    <td>G_158</td>
    <td>10.13400000</td>
    <td>6.047500000</td>
    <td>32.400000</td>
    <td>-12.466666670</td>
    <td>41.985333</td>
    <td>46.804333</td>
  </tr>
  <tr>
    <td>G_159</td>
    <td>12.46000000</td>
    <td>3.079500000</td>
    <td>29.425167</td>
    <td>-13.807666667</td>
    <td>44.074667</td>
    <td>48.102333</td>
  </tr>
  <tr>
    <td>G_160</td>
    <td>13.81083333</td>
    <td>-7.966666667</td>
    <td>36.470667</td>
    <td>-12.342500000</td>
    <td>40.977167</td>
    <td>44.513833</td>
  </tr>
  <tr>
    <td>G_161</td>
    <td>16.50166667</td>
    <td>-8.722333333</td>
    <td>33.183500</td>
    <td>-11.698000000</td>
    <td>39.334833</td>
    <td>43.377667</td>
  </tr>
  <tr>
    <td>G_162</td>
    <td>15.82650000</td>
    <td>-8.769166667</td>
    <td>37.575667</td>
    <td>-12.936333330</td>
    <td>40.299500</td>
    <td>44.020667</td>
  </tr>
  <tr>
    <td>G_163</td>
    <td>12.05150000</td>
    <td>-2.102666667</td>
    <td>38.744167</td>
    <td>-12.970500000</td>
    <td>41.110167</td>
    <td>44.902667</td>
  </tr>
  <tr>
    <td>G_164</td>
    <td>12.15433333</td>
    <td>-0.623833333</td>
    <td>35.189833</td>
    <td>-13.060166670</td>
    <td>39.400500</td>
    <td>44.558667</td>
  </tr>
  <tr>
    <td>G_165</td>
    <td>11.50850000</td>
    <td>1.170666667</td>
    <td>32.085000</td>
    <td>-12.925333330</td>
    <td>42.302167</td>
    <td>45.440833</td>
  </tr>
  <tr>
    <td>G_166</td>
    <td>15.92433333</td>
    <td>-0.985000000</td>
    <td>35.915833</td>
    <td>-14.449500000</td>
    <td>43.080833</td>
    <td>46.392667</td>
  </tr>
  <tr>
    <td>G_167</td>
    <td>15.27333333</td>
    <td>0.715500000</td>
    <td>33.895667</td>
    <td>-15.212166670</td>
    <td>44.886833</td>
    <td>48.776500</td>
  </tr>
  <tr>
    <td>G_168</td>
    <td>15.55500000</td>
    <td>-1.819666667</td>
    <td>35.961000</td>
    <td>-14.474833330</td>
    <td>44.148333</td>
    <td>46.820000</td>
  </tr>
  <tr>
    <td>G_169</td>
    <td>18.28966667</td>
    <td>-8.131000000</td>
    <td>40.589500</td>
    <td>-14.086166670</td>
    <td>39.706833</td>
    <td>44.090167</td>
  </tr>
  <tr>
    <td>G_170</td>
    <td>17.36383333</td>
    <td>-8.207500000</td>
    <td>36.652500</td>
    <td>-9.405166667</td>
    <td>44.650833</td>
    <td>49.948167</td>
  </tr>
  <tr>
    <td>G_171</td>
    <td>14.21066667</td>
    <td>-1.641833333</td>
    <td>36.082500</td>
    <td>-12.745333330</td>
    <td>46.962667</td>
    <td>49.435667</td>
  </tr>
  <tr>
    <td>G_172</td>
    <td>12.88000000</td>
    <td>-2.965833333</td>
    <td>33.614333</td>
    <td>-12.127500000</td>
    <td>43.080333</td>
    <td>45.401167</td>
  </tr>
  <tr>
    <td>G_173</td>
    <td>12.22083333</td>
    <td>1.452166667</td>
    <td>32.393667</td>
    <td>-15.003166670</td>
    <td>45.180667</td>
    <td>47.377167</td>
  </tr>
  <tr>
    <td>G_174</td>
    <td>12.28600000</td>
    <td>2.191833333</td>
    <td>32.095500</td>
    <td>-14.729500000</td>
    <td>44.723667</td>
    <td>47.552333</td>
  </tr>
  <tr>
    <td>G_175</td>
    <td>13.04966667</td>
    <td>-2.758500000</td>
    <td>33.702000</td>
    <td>-12.774000000</td>
    <td>46.678667</td>
    <td>46.924333</td>
  </tr>
  <tr>
    <td>G_176</td>
    <td>12.80716667</td>
    <td>-2.205333333</td>
    <td>33.616000</td>
    <td>-14.379500000</td>
    <td>44.516833</td>
    <td>44.212167</td>
  </tr>
  <tr>
    <td>G_177</td>
    <td>13.71900000</td>
    <td>-0.966000000</td>
    <td>35.880333</td>
    <td>-17.197666670</td>
    <td>51.332833</td>
    <td>54.866833</td>
  </tr>
</table>
<table><tr><td>## G_178</td><td>11.63900000</td><td>-3.134166667</td><td>38.328833</td><td>-11.225000000</td><td>43.146833</td><td>49.773833</td></tr><tr><td>## G_179</td><td>13.92400000</td><td>-3.789000000</td><td>32.805500</td><td>-10.596666670</td><td>42.796167</td><td>48.775333</td></tr><tr><td>## G_180</td><td>13.96400000</td><td>-2.881833333</td><td>32.844667</td><td>-11.788333330</td><td>42.951000</td><td>49.049333</td></tr><tr><td>## NG_01</td><td>1.03766667</td><td>4.587833333</td><td>18.800000</td><td>4.984333333</td><td>23.014667</td><td>19.820000</td></tr><tr><td>## NG_02</td><td>0.20683333</td><td>1.806333333</td><td>13.575167</td><td>8.630500000</td><td>15.049000</td><td>13.446167</td></tr><tr><td>## NG_03</td><td>-2.15466667</td><td>6.003000000</td><td>15.463333</td><td>7.860166667</td><td>13.301833</td><td>11.662833</td></tr><tr><td>## NG_04</td><td>0.70100000</td><td>4.588333333</td><td>10.938000</td><td>9.417500000</td><td>19.720333</td><td>19.607333</td></tr><tr><td>## NG_05</td><td>0.10833333</td><td>4.040500000</td><td>16.119167</td><td>6.563666667</td><td>24.107667</td><td>25.350000</td></tr><tr><td>## NG_06</td><td>0.03016667</td><td>7.027666667</td><td>19.380167</td><td>5.119666667</td><td>10.877000</td><td>12.570833</td></tr><tr><td>## NG_07</td><td>-0.91083333</td><td>5.394333333</td><td>16.833000</td><td>6.592166667</td><td>14.080167</td><td>12.785833</td></tr><tr><td>## NG_08</td><td>-1.04600000</td><td>4.041166667</td><td>18.454667</td><td>5.756333333</td><td>14.748333</td><td>12.828167</td></tr><tr><td>## NG_09</td><td>-1.52900000</td><td>4.097000000</td><td>12.571167</td><td>8.348000000</td><td>16.255500</td><td>15.072833</td></tr><tr><td>## NG_10</td><td>0.26183333</td><td>4.939666667</td><td>14.528333</td><td>6.480000000</td><td>26.770833</td><td>29.679500</td></tr><tr><td>## NG_11</td><td>0.53450000</td><td>2.357833333</td><td>19.485500</td><td>4.337166667</td><td>27.613167</td><td>30.164167</td></tr><tr><td>## NG_12</td><td>-0.18483333</td><td>5.228500000</td><td>15.063000</td><td>8.431166667</td><td>22.390667</td><td>25.571000</td></tr><tr><td>## NG_13</td><td>-0.86333333</td><td>3.485333333</td><td>20.536500</td><td>9.719333333</td><td>23.193667</td><td>17.705500</td></tr><tr><td>## NG_14</td><td>-1.59983333</td><td>3.595500000</td><td>12.151333</td><td>8.064000000</td><td>16.598667</td><td>13.249333</td></tr><tr><td>## NG_15</td><td>-3.08716667</td><td>4.046500000</td><td>10.770667</td><td>7.899000000</td><td>24.850500</td><td>19.585333</td></tr><tr><td>## NG_16</td><td>-1.05600000</td><td>3.814500000</td><td>17.241167</td><td>7.648500000</td><td>24.979833</td><td>22.909833</td></tr><tr><td>## NG_17</td><td>-0.74533333</td><td>2.270833333</td><td>14.981500</td><td>9.571166667</td><td>26.693333</td><td>25.609333</td></tr><tr><td>## NG_18</td><td>0.74116667</td><td>3.090000000</td><td>20.487500</td><td>6.792833333</td><td>24.990167</td><td>25.901333</td></tr><tr><td>## NG_19</td><td>0.29816667</td><td>3.978500000</td><td>12.166500</td><td>10.342666670</td><td>20.273167</td><td>19.007500</td></tr><tr><td>## NG_20</td><td>-0.87733333</td><td>4.602500000</td><td>13.907000</td><td>7.909833333</td><td>19.289833</td><td>16.696500</td></tr><tr><td>## NG_21</td><td>-1.17083333</td><td>5.574000000</td><td>20.522500</td><td>3.663833333</td><td>18.961500</td><td>16.757333</td></tr><tr><td>## NG_22</td><td>0.86766667</td><td>3.850000000</td><td>19.075333</td><td>10.877166670</td><td>21.992000</td><td>20.825000</td></tr><tr><td>## NG_23</td><td>-1.56983333</td><td>3.424666667</td><td>26.156333</td><td>4.817166667</td><td>23.226667</td><td>20.257500</td></tr><tr><td>## NG_24</td><td>-0.69766667</td><td>5.404000000</td><td>25.267500</td><td>7.433333333</td><td>33.387333</td><td>31.636333</td></tr><tr><td>## NG_25</td><td>0.25133333</td><td>1.035000000</td><td>21.914167</td><td>7.479833333</td><td>35.404667</td><td>32.773000</td></tr><tr><td>## NG_26</td><td>-0.04833333</td><td>1.148500000</td><td>23.867833</td><td>8.458500000</td><td>34.216333</td><td>29.985000</td></tr><tr><td>## NG_27</td><td>1.37583333</td><td>4.040166667</td><td>25.262333</td><td>4.341000000</td><td>33.113333</td><td>31.520333</td></tr><tr><td>## NG_28</td><td>1.75300000</td><td>2.905833333</td><td>17.567333</td><td>7.654833333</td><td>31.300333</td><td>27.191667</td></tr><tr><td>## NG_29</td><td>-0.06133333</td><td>2.075833333</td><td>19.076167</td><td>9.366500000</td><td>31.946167</td><td>29.261333</td></tr><tr><td>## NG_30</td><td>1.89033333</td><td>5.349666667</td><td>23.584500</td><td>5.885500000</td><td>25.405333</td><td>21.939667</td></tr><tr><td>## NG_31</td><td>-0.77150000</td><td>3.002500000</td><td>22.121333</td><td>5.649000000</td><td>28.858833</td><td>29.506667</td></tr><tr><td>## NG_32</td><td>-1.49683333</td><td>3.552666667</td><td>21.148500</td><td>5.417666667</td><td>21.880500</td><td>20.755333</td></tr><tr><td>## NG_33</td><td>-1.27616667</td><td>5.295166667</td><td>25.819167</td><td>5.303333333</td><td>30.497833</td><td>30.330333</td></tr><tr><td>## NG_34</td><td>-4.03316667</td><td>6.794500000</td><td>21.494500</td><td>8.095666667</td><td>22.136000</td><td>39.012833</td></tr><tr><td>## NG_35</td><td>-2.34783333</td><td>6.065000000</td><td>22.029333</td><td>9.538500000</td><td>23.014667</td><td>39.045333</td></tr><tr><td>## NG_36</td><td>-1.50283333</td><td>6.025500000</td><td>20.950667</td><td>8.638500000</td><td>18.679667</td><td>35.433167</td></tr><tr><td>## NG_37</td><td>-2.88383333</td><td>8.014166667</td><td>19.516000</td><td>6.757666667</td><td>31.185500</td><td>47.490667</td></tr><tr><td>## NG_38</td><td>-3.21516667</td><td>7.421500000</td><td>19.719000</td><td>4.994333333</td><td>27.981667</td><td>42.512333</td></tr><tr><td>## NG_39</td><td>-0.20316667</td><td>5.655000000</td><td>17.042000</td><td>7.889666667</td><td>23.017667</td><td>40.244667</td></tr><tr><td>## NG_40</td><td>-1.90150000</td><td>5.582166667</td><td>15.901833</td><td>12.257000000</td><td>19.637000</td><td>36.833500</td></tr><tr><td>## NG_41</td><td>-1.55650000</td><td>5.542500000</td><td>18.438000</td><td>9.245000000</td><td>23.844500</td><td>39.849333</td></tr><tr><td>## NG_42</td><td>-1.01266667</td><td>6.483500000</td><td>18.453333</td><td>7.676666667</td><td>15.896833</td><td>32.332000</td></tr><tr><td>## NG_43</td><td>-4.17283333</td><td>9.521333333</td><td>22.085833</td><td>4.933166667</td><td>29.978333</td><td>46.438500</td></tr></table>