Partial Least Squares Algorithm: Determining Optimal Component Count Using Cross-Validation

Partial Least Squares algorithm employing cross-validation to compute optimal component extraction, featuring implementation of cross-validation methodology and regression coefficient calculation algorithms with code-oriented explanations

Kernel-Based Partial Least Squares Algorithm

This kernel-based partial least squares algorithm first applies a kernel function for nonlinear transformation of the original matrix, then solves the problem through nonlinear iterative optimization.

Partial Least Squares Algorithm Implementation in MATLAB

MATLAB implementation of Partial Least Squares algorithm with comprehensive code documentation. Simply copy files to MATLAB directory for immediate use. Includes detailed function descriptions, parameter explanations, and usage examples within the code comments.