BinaryPLSFit function

Binary PLS Regression.

Fits Binary PLS regression.

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.

Returns

The PLS fit used by the BinaryPLSR 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.

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

Author(s)

Jose Luis Vicente Villardon

Examples

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