This function provides a print method for the class "plsRglmmodel"
Usage
# S3 method for class 'plsRglmmodel'
print(x, ...)References
Nicolas Meyer, Myriam Maumy-Bertrand et Frédéric Bertrand (2010). Comparaison de la régression PLS et de la régression logistique PLS : application aux données d'allélotypage. Journal de la Société Française de Statistique, 151(2), pages 1-18. https://www.numdam.org/item/JSFS_2010__151_2_1_0/
Author
Frédéric Bertrand
frederic.bertrand@lecnam.net
https://fbertran.github.io/homepage/
Examples
data(Cornell)
XCornell<-Cornell[,1:7]
yCornell<-Cornell[,8]
modplsglm <- plsRglm(yCornell,XCornell,3,modele="pls-glm-gaussian")
#> ____************************************************____
#>
#> Family: gaussian
#> Link function: identity
#>
#> ____Component____ 1 ____
#> ____Component____ 2 ____
#> ____Component____ 3 ____
#> ____Predicting X without NA neither in X nor in Y____
#> ****________________________________________________****
#>
class(modplsglm)
#> [1] "plsRglmmodel"
print(modplsglm)
#> Number of required components:
#> [1] 3
#> Number of successfully computed components:
#> [1] 3
#> Coefficients:
#> [,1]
#> Intercept 87.652763
#> X1 -5.930456
#> X2 -2.069198
#> X3 -9.607722
#> X4 -4.994568
#> X5 2.603934
#> X6 14.721801
#> X7 -20.912671
#> Information criteria and Fit statistics:
#> AIC BIC Chi2_Pearson_Y RSS_Y R2_Y R2_residY
#> Nb_Comp_0 82.01205 82.98186 467.796667 467.796667 NA NA
#> Nb_Comp_1 53.15173 54.60645 35.742486 35.742486 0.9235940 0.9235940
#> Nb_Comp_2 31.46903 33.40866 4.966831 4.966831 0.9893825 0.9893825
#> Nb_Comp_3 31.54404 33.96857 4.230693 4.230693 0.9909561 0.9909561
#> RSS_residY
#> Nb_Comp_0 467.796667
#> Nb_Comp_1 35.742486
#> Nb_Comp_2 4.966831
#> Nb_Comp_3 4.230693
#> Model with all the required components:
#>
#> Call: glm(formula = YwotNA ~ ., family = family, data = tttrain)
#>
#> Coefficients:
#> (Intercept) tt.1 tt.2 tt.3
#> 88.5833 3.1435 2.8745 0.9767
#>
#> Degrees of Freedom: 11 Total (i.e. Null); 8 Residual
#> Null Deviance: 467.8
#> Residual Deviance: 4.231 AIC: 31.54
rm(list=c("XCornell","yCornell","modplsglm"))