Partial Least Squares Regression with Binary Response
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")
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
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