OpenLLM-France/wikimedia huggingface dataset:
# XQuery/Simile Exhibit
## Motivation

You want to create a Simile Exhibit output of an XML file. To do this we will need to convert XML to JSON file format.

## Method

You have a file of contributors to a book and you would like to create a map of their locations.

## XQuery to Output JSON File

First we must transform our XML file into JSON format. This is a little tricky because JSON required the curly brace characters to be added to the output. The can be done by creating special variables that contain the strings.
In the XQuery header we also have to change the serialization method from our traditional XML to text/plain.
We also have to wrap our item output in a string-join function to prevent the last comma from being serialized.
JSON files are just another file format for storing hierarchical data. Just like XML. JSON is used mostly by JavaScript developers that are not either not familiar with XML or don't have XML editing tools to validate file formats. JSON does allow for nesting of complex data but does not support many XML features such as namespaces.
Unlike XQuery, JSON file formats do not permit a "dash" character in the label unless you put quotes around the label. So note that the image-url property label has quotes around it.

## Alternative Approach

An alternative is to use the fact that curly-braces can be escaped in XQuery by doubling. Since the output is being serialized as text, all elements will be serialised, so there is no need to serialise items separately.
Execute
# XQuery/Simple XForms Examples
## Motivation

Although static XForms can be held in the eXist database, XForms can also be generated dynamically using XQuery. In this section, we first show static forms being output and executed by some XForms client-side engines, the FireFox add-in, the Javascript FormFaces and the XSLT/Javascript XSLTForms.
Then we look at dynamic form generation.
A wide range of XForms examples can be found in the XForms Wikibook

## XForms Engines

These examples use:
* Firefox addin
** Requires Firefox with the XForms add-in
** media-type set to application/xhtml+xml
* FormFaces
** Cross-browser support - examples tested on Firefox and IE6
** The Javascript source is stored in the eXist database and linked to each form
** media-type set to text/html
* XSLTForms
** Uses XSLT to transform to an HTML page and JavaScript to execute.
** The XSLT transformation may be either server-side (via eXist) or client-side.
All examples use the same css stylesheet

## XForm Output
### Firefox

Execute

### FormFaces

Execute

## XSLTForms

Execute

## Simple Controls

Firefox Formfaces XSLTForms

### Observations

* FormFaces : breaks on Firefox
* XSLTForms : Changes only made when triggered

## Multiple instances

A model can contain multiple instances, whose root node is accessed with the instance(id) construct.
FireFox

## Date Entry

* Firefox generates a drop-down calendar. Firefox
* Formfaces currently has no Calendar widget Formfaces

## Server Interaction

Interaction with a server can be via GET or POST. This example is based on Dan McCreary's example in the XForms Wiki book.
On Firefox:
Firefox Formfaces
The respective server scripts are
* GET
* POST
In this example, the whole model is updated and returned to the client. Alternatively, part of the model can be updated (tbc)

## Generic XForms
### Tabular example

A simple approach to generic XForms is illustrated in this script based on an example in the XForms wikibook
In this simple tabular example, the XForm and accompanying CSS to define input field widths is generated by reflection on the supplied instance.
This example works correctly in Firefox but the styling fails in Formfaces

### Simple Forms Schema

More control over the generated XForms can be provided by a simple Schema. This example is still for a simple tabular structure:
Firefox
# XQuery/String Analysis
## XQuery analyze-string

XSLT 2.0 includes the analyze-string construct which captures matching groups (in parentheses) in a regular expression. Strangely this is not available in XQuery. It is possible to use the XSLT construct by wrapping an XQuery function round a generated XSLT stylesheet, even though this seems rather painful. In this installation of eXist, the XSLT engine is Saxon 8.

## UK Vehicle Registration numbers

To illustrate the use of this function, here is a decoder for UK vehicle license plates. These have undergone a number of changes of format, so the script must first decide which format is used, then analyze the number to find the significant codes for the area and date of registration. The patterns are defined in XML and define the regular expression to be used, and the meaning of the matched groups.
Problem: Passing repetition modifiers through is failing

### Decode tables

Separate tables decode codes to date ranges or areas. These tables are plain XML created from CSV files via Excel. The pre-83 area codes are currently incorrect.
e.g.

### Examples

* A current number plate: WP05LNU
* One from the previous series: L162BAY

## Location Mapping

One use of this conversion is to display the locations on a map. Here we take a file of observed registration numbers, decode them all, group by location and generate a KML file with the locations geocoded through the Google API.
Generate Map

## SMS service

The Department of Information Science and Digital Media supports an SMS service with facilities to send and receive text messages. The service is paid for by the University of the West of England, Bristol and all traffic is logged.
A decoder for UK vehicle license numbers is one of the demonstration services which are supported for mobile-originated (MO) text messages.
The format of the text message is
e.g.447624803759
A text message in this format sent to our SMS mobile number 447624803759 passes through a PHP script which allows multiple SMS services to be supported. The script uses the first word of the message to identify the associated service endpoint, and then invokes that endpoint via HTTP, passing the prefix as code, the rest of the message as text and the origination mobile number as from.
For the prefix REG, the associated endpoint is an XQuery script:
The smsregno.xq script is essentially the parseregno script above.
The SMS switch then sends the Reply on to the originating mobile phone.

## To do

* solve problem with repetition modifiers (or function support for analayze-string)
* Pre-83 area code data
* Switch implementation in XQuery to replace the PHP application - awaits switch to eXist v2
# Welsh/Grammar/Prepositions
## Prepositions that cause a soft mutation

These prepositions cause a soft mutation.
| Am | Ar | At |
| Dan | Dros | Drwy |
| Heb | I | O |
| Wrth | Gan | Hyd |

## Personal forms

Prepositions in Welsh, unlike many other European languages, may have personal forms for each pronoun. For example, the preposition 'ar' (on) must become 'arnaf i' for (on me).
Ar :
| Mi | arnaf i | Ni | arnon ni |
| Ti | arnat ti | Chi | arnoch chi |
| Fe/Fo | arno fe / fo | Nhw | arnyn nhw |
| Hi | arni hi |
At :
| Mi | ataf i, atof i | Ni | aton ni |
| Ti | atat ti, atot ti | Chi | atoch chi |
| Fe/Fo | ato fe / fo | Nhw | atyn nhw |
| Hi | ati hi |
Am :
| Mi | amdanaf i | Ni | amdanon ni |
| Ti | amdanat ti | Chi | amdanoch chi |
| Fe/Fo | amdano fe / fo | Nhw | amdanyn nhw |
| Hi | amdani hi |
Dan :
| Mi | danaf i | Ni | danon ni |
| Ti | danat ti | Chi | danoch chi |
| Fe/Fo | Dano fe / fo | Nhw | Danyn nhw |
| Hi | Dani hi |
Dros :
| Mi | drostof i | Ni | droston ni |
| Ti | drostot ti | Chi | drostoch chi |
| Fe/Fo | Drosto fe / fo | Nhw | Drostyn nhw |
| Hi | Drosti hi |
Drwy :
| Mi | Drwyddof i | Ni | Drwyddon ni |
| Ti | Drwyddot ti | Chi | Drwyddoch chi |
| Fe/Fo | Drwyddo fe / fo | Nhw | Drwyddon nhw |
| Hi | Drwyddi hi |
Heb :
| Mi | Hebddof i | Ni | Hebddon ni |
| Ti | Hebddot ti | Chi | Hebddoch chi |
| Fe/Fo | Hebddo fe / fo | Nhw | Hebddyn nhw |
| Hi | Hebddi hi |
Gan :
| Mi | Gen i | Ni | Ganddon ni |
| Ti | Gen ti | Chi | Gennych chi |
| Fe/Fo | Ganddo fe / fo | Nhw | Ganddyn nhw |
| Hi | Ganddi hi |
Rhwng :
| Mi | Rhyngddof i | Ni | Rhyngddon ni |
| Ti | Rhyngddot ti | Chi | Rhyngddoch chi |
| Fe/Fo | Rhyngddo fe / fo | Nhw | Rhyngddyn nhw |
| Hi | Rhyngddi hi |
I :
| Mi | I mi / I fi | Ni | I ni |
| Ti | I ti | Chi | I chi |
| Fe/Fo | Iddo fe / fo | Nhw | Iddyn nhw |
| Hi | Iddi hi |
O :
| Mi | Ohonof i | Ni | Ohonon ni |
| Ti | Ohonot ti | Chi | Ohonoch chi |
| Fe/Fo | Ohono fe / fo | Nhw | Ohonyn nhw |
| Hi | Ohoni hi |
Wrth :
| Mi | Wrthof i | Ni | Wrthon ni |
| Ti | Wrthot ti | Chi | Wrthoch chi |
| Fe/Fo | Wrtho fe / fo | Nhw | Wrthyn nhw |
| Hi | Wrthi hi |
Yn :
| Mi | Ynddof i | Ni | Ynddon ni |
| Ti | Ynddot ti | Chi | Ynddoch chi |
| Fe/Fo | Ynddo fe / fo | Nhw | Ynddyn nhw |
| Hi | Ynddi hi |

## Mewn v. Yn

Mewn is used for indefinite situations. Yn is used for definite situations. Generally, mewn can be translated as in a.
e.g Dwi'n mynd mewn awyren.
I'm going in an aeroplane.
Ti'n gweithio mewn siop.
You work in a shop.
Ô'n i'n gwneud prawf cemeg yn yr ysgol heddiw.
I did a chemistry test in the school today.

## Verb-nouns and Prepositions
### By preposition

AR
* gwrando ar | Mae e'n gwrando ar y radio.
* gweiddi ar | Pam wyt ti'n gweiddi arna i?
* sylwi ar | [eg]
* gwenu ar | [eg]
* edrych ar | Gad i ni edrych ar y teledu.
AT
* anfon at | [eg]
* edrych ymlaen at | [eg]
* mynd at | [eg]
* ysgrifennu at | [eg]
I
* mynd i
WRTH
* dweud wrth
YN
* credu yn
* ymddiried yn
Â
* siarad â
* peidio â

### By verb-noun

Gweithio:
* Gweithio i (work for)
* Gweithio ar (work on [something])
Siarad:
* Siarad â (speak to/with)
Dod:
* Dod ymlaen (to get on/to get along)
# Welding/Safety
## Safety

Safety is a key player in all types of welding. The human body is mostly made up of water and metal don't usually go together well. Make proper use of safety goggles/glasses, gloves, leather clothing, work boots and welding helmets. Welding is HOT, so keep around a metal pail of cooling oil or water, and, just in case, a can of instant-freeze for yourself. Wear earplugs if you are sensitive to loud noise, as it can get pretty loud while welding and grinding. Make proper use of and KNOW the tools you are using, if you don't know what something is or does, ask... it may save a limb or even a life. Be wary of sparks and weld flashing, eyes are extremely sensitive, and if extreme or prolonged enough, damage can lead to permanent blindness. Additionally, arc burn on the skin over time due to excessive exposure to the light can and will lead to skin cancer as the rays give off ultra-violet rays.

## References

* ↑ How Do Auto-Darkening Welding Helmets Work?
# Welsh/Authors

This page is meant to provide information about people who feel they have made a contribution to this book and wish to cooperate on its development.
Please feel free to add yourself here if you match the description above. Use *{{user|username}} to add a name.

### Authors

* Kijog
* AledJames - Aled was born in Wales, and has fluently spoke the language since he was 5 and now attends a fully Welsh speaking school.
* Brenin_yr_elyrch
# Welsh/Grammar/Clauses
## Noun Clauses

* Fi Fy mod i
* Ti Dy fod ti
* Fe Ei fod e
* Ni Ein bod ni
* Chi Eich bod chi
* Nhw Eu bod nhw
Dwi'n gywbod fy mod i'n mynd yfory.
    I know that I'm going tomorrow.
Mae'n amlwg (ei) bod hi'n gwybod yr ateb.
    It's obvious that she knows the answer.

### Other Tenses

Leave as is -
Ro'n i'n gwybod fy mod i'n mynd i orffen yn gynnar.
    I knew that I was going to finish early.
Dwi'n siwr (y) bydd e'n dod yn ôl.
    I'm sure that he will come back.

### Emphatic Pattern

Use mai or taw.
Mae hi'n siwr mai ti yw'r gorau. OR Mae hi'n siwr taw ti yw'r gorau.

## Adverbial Clauses

To do.

## Adjectival Clauses

To do.
# Welsh/Grammar/Adverbs

Define an adverb. Adverbs can generally be created from adjectives using the particle 'yn':

## Adverbial Phrases

* bob amser, etc.
# Welsh/Grammar/Articles
## Indefinite Article

* There is no indefinite article in Welsh. afal - an apple; cath - a cat; merch - a girl.

## The Definite Article

* y - before consonants: y gath - the cat; y ci - the dog.
* yr - before vowels and h (remember that w and y are vowels in Welsh): yr ysgol - the school; yr afal - the apple; yr het - the hat.
* 'r - suffixed to the preceding word if it ends with a vowel regardless of whether the following word begins with a vowel or consonant: mae'r plant - the children are; mae'r ysgol - the school is; dyma'r llyfr - here's the book.
# Welsh/Grammar/Adjectives

Adjectives in Welsh generally follow the noun.

## Masculine and Feminine Adjectives

* Gwyn, gwen... etc.

## Adjectives that precede nouns

* To do

## Adjectives that change in meaning

* Unig ferch v. ferch unig

## Comparing Adjectives

* Da, gwell... etc

## Pob

* Pob ateb, bob amser...
# Writing Adolescent Fiction/Character names/Azerbaijani
## Usage note

Azerbaijani names go given name - patronymic - surname, much like Russia. The -ov and -ev surnames are gendered: Ali Rasulov, but Fatima Rasulova.
Citizens of Azerbaijan are forbidden by law from giving their children two first names (like "Mary Anne").

## Girls' names

* Adila
* Aida
* Almas
* Amalia
* Anabaji
* Atabala
* Aybeniz
* Aydan
* Aygyun
* Aynur
* Ayshan
* Banu
* Ellada
* Elza
* Fatima
* Fidan
* Guiz
* Guizbas
* Guiztamam
* Guizyetar
* Gyular
* Gyulush
* Gyulya
* Gyunduz
* Ilhama
* Jala
* Jamila
* Khanum
* Leyla
* Matanat
* Mirish
* Mirvari
* Narmina
* Natiga
* Nuray
* Rafiga
* Sabina
* Samira
* Selma
* Sevda
* Solmaz
* Tamam
* Zahra
* Zemfira

## Boys' names

* Adil
* Akhmad
* Ali
* Aliakber
* Aligulu
* Allahverdi
* Anvar
* Avtandil
* Bakhtiyar
* Donmaz
* Elkhan
* Faig
* Faik
* Farid
* Fazail
* Firuz
* Fuad
* Gamar
* Hajy
* Haqverdi
* Hasan
* Heydar
* Huseyn
* Ilham
* Kerrar
* Khachatur
* Khadzhi
* Khuraman
* Mammad
* Mammadhasan
* Mubarak
* Mubariz
* Narkom
* Negar
* Oktyabr
* Oqtay
* Panak
* Qabil
* Qorkhmaz
* Rafik
* Ramiz
* Rashid
* Samad
* Shahverdi
* Sultan
* Telman
* Uzeyir
* Vladik
* Yusif

## Surnames
### Top 10

* Mammadov
* Aliyev
* Hasanov
* Huseynov
* Quliyev
* Hajiyev
* Rasulov
* Suleymanov
* Musayev
* Abbasov

### Others

* Abasov
* Abdullayev
* Abilov
* Agamaliyev
* Agayev
* Ahmadov
* Ahundov
* Akbarov
* Akhmedov
* Alakbarov
* Alasgarov
* Aliev
* Alizade
* Alizadeh
* Allahverdiyev
* Amirov
* Asadov
* Asgarov
* Ashurbeyli
* Askerzade
* Aslanov
* Attar
* Axundov
* Aydayev
* Azad
* Azimov
* Azizov
* Babaev
* Babayev
* Badalov
* Bagabzade
* Bagirov
* Basirov
* Bayramov
* Bego
* Belenki
* Beybukov
* Cabbarov
* Cabrayilov
* Cafarov
* Calilov
* Cavadov
* Chorakchi
* Dadasov
* Damirchi
* Dadasov
* Dzhafarov
* Efendiyev
* Elcibey
* Eliyev
* Eyvazov
* Faracov
* Farzaliyev
* Faturachi
* Gambar
* Garibov
* Haciyev
* Hajibeyov
* Hajiev
* Hajjibekov
* Hamidov
* Hasimov
* Heydarov
* Humbatov
* Huseinov
* Huseynli
* Ibrahimov
* Imanov
* Ipakchi
* Isayev
* Isfahani
* Isgandarov
* Ismayilov
* Izmailov
* Jabbarli
* Kaffash
* Karimov
* Kazimov
* Khanli
* Koprulu
* Maharramov
* Mahmudov
* Malikov
* Mamedov
* Mammadli
* Melifov
* Memmedov
* Meshadi
* Mikayilov
* Mirzayev
* Muradov
* Mustafayev
* Mutalibov
* Nabiyev
* Nacafov
* Nagiyev
* Namazov
* Nasibov
* Nasirov
* Natavan
* Nazarov
* Niyazi
* Nizami
* Novruzov
* Nuriyev
* Oguz
* Omid
* Orucov
* Orujov
* Osmanov
* Pasayev
* Pashazade
* Qadirov
* Qafarov
* Qahramanov
* Qarayev
* Qasimov
* Qocayev
* Quluyev
* Qurbanov
* Ramazanov
* Roshan
* Rustamhanli
* Rustamov
* Rustaveli
* Rzayev
* Sadiqov
* Safariv
* Salimov
* Salmanov
* Samadov
* Sayadov
* Seyidov
* Shakhsevev
* Sharifov
* Shirazi
* Sirinov
* Sukurov
* Tabrizi
* Taghiyev
* Tagiyev
* Talibov
* Tehrani
* Valiyev
* Vurgun
* Xalilov
* Yunosov
* Yunusov
* Yusifov
* Zeynalov
# Writing Adolescent Fiction/Character names

First names and surnames for characters of many different ethnic and religious groups. Here are many girls' names and boys' names, general, ethnic, and religious, and more than 48,000 surnames to choose from.

## General

* A general list of girls' names
* A general list of boys' names
* A general list of unisex names
* Initial names
* Botanical names
* Precious stone names for girls

## Americas

* Names from Early Established Diaspora Communities in the Americas
** Popular names in the U.S. in different years
*** African-American
*** Southern/Southwestern double boys' names
*** Southern girls' names
** West Indian
** Latin American Names
*** Spanish
*** Portuguese
*** French
* Names from Communities of Indigenous Peoples of the Americas
** Native American
** Latin American Indian / Indigenous Latin American
** Alaska Native

## Europe

* Albanian
* Basque
* Belarusian
* Bulgarian and Macedonian
* Carpatho-Rusyn
* Celtic
* Cornish
* Czechoslovakian
* Danish
* Dutch
* English
* Estonian
* Finnish
* French
* German
* Greek
* Hungarian
* Italian
* Latvian
* Lithuanian
* Maltese
* Manx
* Polish
* Portuguese
* Romanian
* Russian
* Scandinavian
* Scottish and Irish
* Spanish
* Swedish
* Ukrainian
* Welsh
* Yugoslavian

## Western Asia and North Africa

* Ancient Egyptian
* Arab
* Berber
* Kyrgyz
* Maltese
* Persian
* Turkish
* Armenian
* Azerbaijani
* Georgian

## South Asia

* Bangladeshi
* Indian
* Nepalese
* Roma
* Sri Lankan

## Subsaharan Africa

* Congolese
* Horn of Africa (Ethiopian and Eritrean, Somali, Djiboutian)
** Ethiopian and Eritrean
** Somali
** Djiboutian
** Christian, Muslim, and Jewish names
* Ghanaian
* Kenyan, Tanzanian and Ugandan (including Swahili names)
* Malawian
* Nigerian
* Senegalese
* Sesotho
* Sierra Leonean
* Black South African
* Zimbabwean
* African-American
* West Indian

## East and Southeast Asia

* Burmese
* Cambodian
* Chinese
* Filipino
* Himalayan (Tibetan, Bhutanese and Nepali)
* Hmong
* Indonesian (and Malaysian)
* Japanese
* Korean
* Lahu
* Laotian
* Manchu
* Mien
* Mongolian
* Thai
* Vietnamese

## Oceania

* Australian Aboriginal
* Fijian
* Hawaiian
* Maori
* Micronesian (Guamanian, Northern Mariana Islander, Marshallese, Palauan and FSM)
* Papua New Guinean
* Samoan
* Tahitian
* Tongan

## Religion

* Buddhist
* Jewish
* Mennonite (European-origin)
* Mormon
# Statistics/Multivariate Data Analysis/Principal Component Analysis

In a Principal Component Analysis (PCA) a new coordinate system is created from the data. The origin of this new coordinate system is the grand mean, i.e. the mean of each variable becomes the 0 in the transformed coordinate system. The first principal component (first axis) extends through the longest extent of the data. Imagine your data being three variables, x$_1$, x$_2$ and x$_3$. The data form a data cloud in three-dimensional space, like a bun, for example. Then the first axis (p$_1$) can be visualised as a knitting needle poked through the maximum dimensions of the bun. The second axis (p$_2$) is orthogonal to the first axis, extending through the next-longest side of the bun. As mentioned, the origin, i.e. the intercept of the two axis, is the mean. Therefore the two axes meet in the center of gravity (assuming uniform density) of the bun. The third axis, again, is orthogonal to both previous axes. In our 3D-example you can easily work out that there is only one possibility left.
Any combination of old variable values (e.g. x$_{11}$, x$_{21}$, x$_{31}$) will have a new value in the transformed PCA-system (p$_{11}$, p$_{21}$, p$_{31}$). However now the vectors of coordinates (p1., p2. and p3.) will be orthogonal and uncorrelated.

## See also

* Exploratory factor analysis (Wikiversity)
* Principal components analysis (Wikipedia)
# Statistics/Numerical Methods

Often the solution of statistical problems and/or methods involve the use of tools from numerical mathematics. An example might be Maximum-Likelihood estimation of ${\widehat {\Theta }}$ which involves the maximization of the Likelihood function $L$:
${\widehat {\Theta }}=\max _{\theta }\,\,L(\theta |x_{1},...,x_{n})$.
The maximization here requires the use of optimization routines. Other numerical methods and their application in statistics are described in this section.
Contents of this section:
This section is dedicated to the Gram-Schmidt Orthogonalization which occurs frequently in the solution of statistical problems. Additionally some results of algebra theory which are necessary to understand the Gram-Schmidt Orthogonalization are provided. The Gram-Schmidt Orthogonalization is an algorithm which generates from a set of linear dependent vectors a new set of linear independent vectors which span the same space. Computation based on linear independent vectors is simpler than computation based on linear dependent vectors.
Numerical Optimization occurs in all kind of problem - a prominent example being the Maximum-Likelihood estimation as described above. Hence this section describes one important class of optimization algorithms, namely the so-called Gradient Methods. After describing the theory and developing an intuition about the general procedure, three specific algorithms (the Method of Steepest Descent, the Newtonian Method, the class of Variable Metric Methods) are described in more detail. Especially we provide an (graphical) evaluation of the performance of these three algorithms for specific criterion functions (the Himmelblau function and the Rosenbrock function). Furthermore we come back to Maximum-Likelihood estimation and give a concrete example how to tackle this problem with the methods developed in this section.
In OLS, one has the primary goal of determining the conditional mean of random variable $Y$, given some explanatory variable $x_{i}$ , $E[Y|x_{i}]$. Quantile Regression goes beyond this and enables us to pose such a question at any quantile of the conditional distribution function. It thereby focuses on the interrelationship between a dependent variable and its explanatory variables for a given quantile.
Statistical calculations require an extra accuracy and are open to some errors such as truncation or cancellation error etc. These errors occur due to binary representation and finite precision and may cause inaccurate results. In this work we are going to discuss the accuracy of the statistical software, different tests and methods available for measuring the accuracy and the comparison of different packages.
The purpose of this paper is to evaluate the accuracy of MS Excel in terms of statistical procedures and to conclude whether the MS Excel should be used for (statistical) scientific purposes or not. The evaluation is made for MS Excel versions 97, 2000, XP and 2003.
# Statistics/Multivariate Data Analysis/Canonical Correlation Analysis

CANONICAL ANALYSIS This analysis can be used incase of measurable and non-measurable variables for the purpose of simultaneously predicting a set of dependent variables from their joint covariance with a set of independent variables. Both metric and non-metric data can be used in the context of this multivariate technique. The procedure is to followed is to obtain a set of weights for the dependent independent variables in such a way that linear composite of the criterion variables has a maximum correlation with the linear composite of the explanatory variables The main objective of canonical correlation analysis is to discover factors separately in the two sets of variables such that the multiple correlations between sets of factors will be the maximum possible. Mathematically, the weight of two sets y= a1*y1 + a2*y2 + ... + ap*yp
Have common variance. The resulting canonical correlation solution then gives an overall description of the presence or absence of a relationship between the two sets of variables.
# Stress-related Disorders

Stress

## Table of contents

* Introduction
* Anxiety Reduction
* A Technique for Promoting the Relaxation Response
* Clinical Stress
* Surgical Stress
* Defenses

## References

* ↑ Medical Dictionary ISBN 81-7473-178-4 page 834
* ↑ CHURCHILL LIVINGSTONE POCKET MEDICAL DICTIONARY 14th Edition ISBN 0 443 03954 2 page 252