Generalized Partial Least Squares Regression MATLAB Implementation

Partial Least Squares Regression (PLSR) represents a novel multivariate statistical analysis method focused on regression modeling between multiple dependent and independent variables. This approach proves particularly effective when dealing with highly linearly correlated variables and efficiently handles scenarios where the number of samples is smaller than the number of variables. MATLAB implementation typically involves dimensionality reduction through iterative projection algorithms.