This function provides a print method for the class "cv.plsRmodel"
Usage
# S3 method for class 'cv.plsRmodel'
print(x, ...)
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]
print(cv.plsR(object=yCornell,dataX=XCornell,nt=10,K=6, verbose=FALSE))
#> Number of repeated crossvalidations:
#> [1] 1
#> Number of folds for each crossvalidation:
#> [1] 6
rm(list=c("XCornell","yCornell","bbb"))
#> Warning: object 'bbb' not found