get_local_pls_weights: Internal Cpp function for computing the weights of the PLS...

In resemble: Memory-Based Learning in Spectral Chemometrics

Internal Cpp function for computing the weights of the PLS components necessary for weighted average PLS

Description

For internal use only!.

Usage

get_local_pls_weights(projection_mat, 
          xloadings, 
          coefficients, 
          new_x, 
          min_component, 
          max_component, 
          scale, 
          Xcenter, 
          Xscale)

Arguments

projection_mat	the projection matrix generated either by the opls function.
xloadings	.
coefficients	the matrix of regression coefficients.
new_x	a matrix of one new spectra to be predicted.
min_component	an integer indicating the minimum number of pls components.
max_component	an integer indicating the maximum number of pls components.
scale	a logical indicating whether the matrix of predictors used to create the regression model was scaled.
Xcenter	a matrix of one row with the values that must be used for centering newdata.
Xscale	if scale = TRUE a matrix of one row with the values that must be used for scaling newdata.

Value

a matrix of one row with the weights for each component between the max. and min. specified.

Author(s)

Leonardo Ramirez-Lopez

resemble documentation built on May 29, 2024, 8:49 a.m.