This function provides a print method for the class "summary.plsRmodel"

# S3 method for summary.plsRmodel
print(x, ...)

Arguments

x

an object of the class "summary.plsRmodel"

...

not used

Value

language

call of the model

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. http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/47

See also

Author

Frédéric Bertrand
frederic.bertrand@utt.fr
https://fbertran.github.io/homepage/

Examples

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____ #> ****________________________________________________**** #>
class(modpls)
#> [1] "plsRglmmodel"
print(summary(modpls))
#> Call: #> plsRglmmodel.default(dataY = yCornell, dataX = XCornell, nt = 3, #> modele = "pls")
rm(list=c("XCornell","yCornell","modpls"))