Least squares adjustment software

MoMA: Modern Multivariate Analysis in R

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.

Partial Least Squares Path Modeling, Structural Equation Modeling

A Comprehensive Software for Data Mining and Multivariate Analysis

Fast CPU and GPU Python implementations of Improved Kernel PLS by Dayal and MacGregor (1997) and Shortcutting Cross-Validation by Engstrøm (2024).

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.

Partial Total Least Squares routines from Sabine Van Huffel

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

Probabilistic O2PLS

Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).

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

Least squares adjustment software

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

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

PLS-SEM Interactive Tutorial with cSEM R package