Least squares adjustment software

Fast CPU and GPU Python implementations of Improved Kernel Partial Least Squares (PLS) by Dayal and MacGregor (1997) and Fast Partition-Based Cross-Validation With Centering and Scaling for XTX and XTY by Engstrøm and Jensen (2025).

MoMA: Modern Multivariate Analysis in R

Computation of training set (X^T * W * X) and (X^T * W * Y) or (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm and Jensen (2025).

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

A Comprehensive Software for Data Mining and Multivariate Analysis

Partial Least Squares Path Modeling, Structural Equation Modeling

Machine learning tools for the analysis of systems serology data

A Collection of Data-Sets, R-programs, and Vignettes for the Advanced Workshop in Sensory Evaluation of SPISE 2022.

Probabilistic O2PLS

Partial Total Least Squares routines from Sabine Van Huffel

OCaml wrapper to the pls R package (Partial Least Squares / PLS regression)

This repository provides a GPU implementation of the Partial Least Squares (PLS) algorithm.

Least squares adjustment software

A MATLAB toolbox for supervised linear dimension reduction (SLDR) including LDA, HLDA, PLSDA, MMDA, HMMDA and SDA

Repo for the article "Dynamics of White Matter Architecture in Lexical Production among Middle-Aged Adults"

PLS-SEM Interactive Tutorial with cSEM R package

Creation and selection of N-way Partial Least Squares (NPLS) models