PLSR1Bin {MultBiplotR}

Partial Least Squares Regression with Binary Response

Description

Fits Partial Least Squares Regression with Binary Response

Usage

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

Arguments

Y

The response

X

The matrix of independent variables

S

The Dimension of the solution

InitTransform

Initial transform for the X matrix

grouping

Factor for grouping the observations

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 optim

Details

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.

Value

Still to be finished

Author(s)

Jose Luis Vicente Villardon

Examples

# No examples yet