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 * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).
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.
Partial Total Least Squares routines from Sabine Van Huffel
OCaml wrapper to the pls R package (Partial Least Squares / PLS regression)
Probabilistic O2PLS
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
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