PLSR1Bin: Partial Least Squares Regression with Binary Response
In villardon/MultBiplotR: Multivariate Analysis Using Biplots in R

Description Usage Arguments Details Value Author(s) Examples

Fits Partial Least Squares Regression with Binary Response

1
2
3

PLSR1Bin(Y, X, S = 2, InitTransform = 5, grouping = NULL, 
tolerance = 5e-06, maxiter = 100, show = FALSE, penalization = 0, 
cte = TRUE, Algorithm = 1, OptimMethod = "CG")

`Y`	The response
`X`	The matrix of independent variables
`S`	The Dimension of the solution
`InitTransform`	Initial transform for the X matrix
`grouping`
`tolerance`	Tolerance for convergence of the algorithm
`maxiter`	Maximum Number of iterations
`show`	Show the steps of the algorithm
`penalization`	Penalization for the Ridge Logistic Regression
`cte`	Should a constant be included in the model?
`Algorithm`	Algorithm used in the calculations
`OptimMethod`	Optimization methods from optimr

The procedure uses the algorithm proposed by Bastien et al () to fit a Partial Lest Squares Regression when the response is Binary. The procedure will be later converted into a Biplot to visulize the results.

Still to be finished

Jose Luis Vicente Villardon