## 4 Results
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Types of Pollen**} & \multicolumn{3}{c}{**Year 2014**} & \multicolumn{3}{c}{**Year 2015**} & \multicolumn{3}{c}{**Year 2016**} & \multicolumn{3}{c}{**Year 2017**} & \multicolumn{3}{c}{**Period**} \\  & & & & & & & & & & & & & & **2014–2017** \\ \hline \hline  & **C** & **R** & **T** & **C** & **R** & **T** & **C** & **R** & **T** & **C** & **R** & **T** & **C** & **R** & **T** \\ \hline _Cupressaceae_ & 1 & 2 & **3** & 2 & 5 & **7** & 6 & 3 & **9** & 3 & 3 & **6** & 12 & 13 & 25 \\ \hline _Olea_ & 6 & 9 & **15** & 5 & 10 & **15** & 8 & 10 & **18** & 5 & 8 & **13** & 24 & 37 & 61 \\ \hline _Pitus_ & 6 & 11 & **17** & 5 & 11 & **16** & 7 & 10 & **17** & 8 & 11 & **19** & 26 & 43 & 69 \\ \hline _Platanus_ & 1 & 8 & **9** & - & 8 & **8** & 1 & 10 & **11** & 6 & 6 & **12** & 8 & 32 & 40 \\ \hline _Populus_ & 5 & 10 & **15** & 3 & 10 & **13** & 3 & 5 & **8** & 6 & 11 & **17** & 17 & 36 & 58 \\ \hline _Ulmus_ & 1 & 2 & **3** & 1 & 9 & **10** & 4 & 9 & **13** & 6 & 9 & **15** & 12 & 29 & 41 \\ \hline \hline Total C/R & **20** & **42** & & **16** & **53** & & **29** & **47** & & **34** & **48** & & **99** & **190** \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Quantification of the presence of the 6 studied pollen-type variables in the calculated models, statistically significant (with adjusted R\({}^{2}\) > 30%) for the allergic diseases allergic conjunctivitis (C) and allergic rhinitis (R), for each of the four years of study. The total number of times (T) that each type of pollen appears in all the equations found for the two pathologies is also counted for each year. The right-hand side of the table shows the sum for each dependent variable and the study period. The right column, shaded in blue, shows the total sum for each pollen type and the two dependent variables. Finally, the lower row (Total C/R) shows the number of occurrences of the pollen types for each of the pathologies under study, both for each year and for the whole period. As shown in Table 2, the types of pollen most present in the equations obtained for the allergic pathologies under study are, in 2014, _Pinus_ on 17 occasions and _Olea_ and _Populus_ on 15. In 2015, again, it was _Pinus_ that was the most present, with 16 appearances, followed by _Olea_ with 15 and _Populus_ with 13. In 2016, _Olea_ was the most frequent, with 18, followed by _Pinus_, with 17, and _Ulmus_, with 13. In 2017, _Pinus_ appeared on 19 occasions, followed by _Populus_, with 17, and _Ulmus_, with 15. Likewise, in the 2014-2017 period as a whole, with allergic conjunctivitis and with allergic rhinitis, the same order is repeated, led by _Pinus_ (with 26 and 43 occasions, respectively), followed by _Olea_ (with 24 and 37, respectively) and by _Populus_ (with 17 and 36, respectively). As for the total number of relationship occasions with the two dependent variables (column shaded in blue), _Pinus_ is the most frequent, with 69 times, followed by _Olea_, with 61, and _Populus_, with 53. In this order, they are followed by _Ulmus_, with 41, _Platanus_, with 40, and _Cupressaceae_, with 25. In the 11 stations of the Palinocam Network, the concentrations of the six types of pollen are measured. Therefore, they all have the same probability of participating as explanatory variables in the multiple linear regression models. On the other hand, as can be seen in the last row of Table 2 (Total C/R), the overall relationship of the six studied pollen types with allergic rhinitis is undoubtedly the most frequent of the two studied pathologies, as already argued (with values of 42, 53, 47, and 48 total occasions, in the years 2014, 2015, 2016, and 2017, respectively), compared to 20, 16, 29, and 34 interventions for allergic conjunctivitis, respectively. In the study period, the total number of occasions of the relationship of pollen types with allergic rhinitis was 190, compared to 99 for allergic conjunctivitis.