| PLSRBinFit {MultBiplotR} | R Documentation |
PLS binary regression.
Description
Fits PLS binary regression.
Usage
PLSRBinFit(Y, X, S = 2, tolerance = 5e-06, maxiter = 100,
show = FALSE, penalization = 0.1, cte = TRUE, OptimMethod = "CG")
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 |
cte |
Should a constant be included in the model? |
OptimMethod |
Optimization methods from optim |
Details
Fits PLS binary regression. It is used for a higher level function.
Value
The PLS fit used by the PLSRBin 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.
Examples
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