R/print.summary.plsRmodel.R
print.summary.plsRmodel.Rd
This function provides a print method for the class
"summary.plsRmodel"
# S3 method for summary.plsRmodel print(x, ...)
x | an object of the class |
---|---|
... | not used |
call of the model
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. http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/47
Frédéric Bertrand
frederic.bertrand@utt.fr
https://fbertran.github.io/homepage/
data(Cornell) XCornell<-Cornell[,1:7] yCornell<-Cornell[,8] modpls <- plsRglm(yCornell,XCornell,3,modele="pls")#> ____************************************************____ #> #> Model: pls #> #> ____Component____ 1 ____ #> ____Component____ 2 ____ #> ____Component____ 3 ____ #> ____Predicting X without NA neither in X nor in Y____ #> ****________________________________________________**** #>#> [1] "plsRglmmodel"#> Call: #> plsRglmmodel.default(dataY = yCornell, dataX = XCornell, nt = 3, #> modele = "pls")