| BinaryPLSFit {MultBiplotR} | R Documentation |
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