PLSR1Bin: Partial Least Squares Regression with Binary Response

In MultBiplotR: Multivariate Analysis Using Biplots in R

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

MultBiplotR documentation built on Nov. 21, 2023, 5:08 p.m.