PLSRBinFit function

PLS binary regression.

Fits PLS binary regression.

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.

Returns

The PLS fit used by the PLSRBin function.

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.

Author(s)

Jose Luis Vicente Villardon

Examples

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