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). This package also includes options to use sample weights for PLS modeling.
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).
Partial Least Squares Path Modeling, Structural Equation Modeling
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
Python toolkit for analysis of industrial process data; multivariate analysis, designed experiments, process monitoring.
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
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.
Partial Total Least Squares routines from Sabine Van Huffel
Least squares adjustment software
Registration-free supervised tensor-PLS (RAW-PLS) for unaligned multiparametric MRI: each scan is a point cloud transported onto a learnable cross-subject template via supervised fused Gromov-Wasserstein, then read out with a low-rank geometry head. No registration, interpretable, with identifiability and consistency guarantees. On BraTS.
A MATLAB toolbox for supervised linear dimension reduction (SLDR) including LDA, HLDA, PLSDA, MMDA, HMMDA and SDA
A Python package for chemometrics and spectroscopy that extends classical PLS regression by incorporating measurement uncertainty through neutrosophic set theory. No programming experience required – use our interactive wizard!
Fast C++20 NIPALS PLS1 for functional data with nonlinear simulation
Repo for the article "Dynamics of White Matter Architecture in Lexical Production among Middle-Aged Adults"
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