mljs/pls

This library provides implementations of Partial Least Squares (PLS), Kernel-based Orthogonal Projections to Latent Structures (K-OPLS), and NIPALS-based Orthogonal Partial Least Squares (OPLS) algorithms for regression and discriminant analysis. It is designed for data scientists and researchers working with multivariate data analysis, particularly in fields like chemometrics, bioinformatics, and machine learning where dimensionality reduction and predictive modeling are required.