
Print method for summaries of plsRglm models
Source:R/print.summary.plsRglmmodel.R
print.summary.plsRglmmodel.Rd
This function provides a print method for the class
"summary.plsRglmmodel"
Usage
# S3 method for class 'summary.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(summary(modplsglm))
#> Call:
#> plsRglmmodel.default(dataX = XCornell, nt = 3, modele = "pls-glm-gaussian",
#> dataY = yCornell)
rm(list=c("XCornell","yCornell","modplsglm"))