This function provides a summary method for the class "plsRmodel"
Usage
# S3 method for class 'plsRmodel'
summary(object, ...)
References
Nicolas Meyer, Myriam Maumy-Bertrand et Frédéric Bertrand (2010). Comparing the linear and the logistic PLS regression with qualitative predictors: application to allelotyping data. Journal de la Societe Francaise 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]
modpls <- plsR(yCornell,XCornell,3,modele="pls")
#> ____************************************************____
#> ____Component____ 1 ____
#> ____Component____ 2 ____
#> ____Component____ 3 ____
#> ____Predicting X without NA neither in X nor in Y____
#> ****________________________________________________****
#>
class(modpls)
#> [1] "plsRmodel"
summary(modpls)
#> Call:
#> plsRmodel.default(dataX = XCornell, nt = 3, modele = "pls", dataY = yCornell)
rm(list=c("XCornell","yCornell","modpls"))