Fits Partial Least Squares Regression with Binary Response
PLSR1Bin(Y, X, S = 2, InitTransform = 5, grouping = NULL,
tolerance = 5e-06, maxiter = 100, show = FALSE, penalization = 0,
cte = TRUE, Algorithm = 1, OptimMethod = "CG")Still to be finished
The response
The matrix of independent variables
The Dimension of the solution
Initial transform for the X matrix
Factor for grouping the observations
Tolerance for convergence of the algorithm
Maximum Number of iterations
Show the steps of the algorithm
Penalization for the Ridge Logistic Regression
Should a constant be included in the model?
Algorithm used in the calculations
Optimization methods from optim
Jose Luis Vicente Villardon
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.