BinaryPLSFit: Binary PLS Regression.

In MultBiplotR: Multivariate Analysis Using Biplots in R

Binary PLS Regression.

Description

Fits Binary PLS regression.

Usage

BinaryPLSFit(Y, X, S = 2, tolerance = 5e-06, maxiter = 100, show = FALSE, 
          penalization = 0.1, OptimMethod = "CG", seed = 0) 

Arguments

Y	The response
X	The matrix of independent variables
S	The Dimension of the solution
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
OptimMethod	Optimization methods from optimr
seed	Seed. By default is 0.

Details

Fits Binary PLS Regression. It is used for a higher level function.

Value

The PLS fit used by the BinaryPLSR function.

Author(s)

Jose Luis Vicente Villardon

References

Ugarte Fajardo, J., Bayona Andrade, O., Criollo Bonilla, R., Cevallos‐Cevallos, J., Mariduena‐Zavala, M., Ochoa Donoso, D., & Vicente Villardon, J. L. (2020). Early detection of black Sigatoka in banana leaves using hyperspectral images. Applications in plant sciences, 8(8), e11383.

Vicente-Gonzalez, L., & Vicente-Villardon, J. L. (2022). Partial Least Squares Regression for Binary Responses and Its Associated Biplot Representation. Mathematics, 10(15), 2580.

Examples

## Not yet

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