Least squares adjustment software
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Updated
May 19, 2023 - C++
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).
This repository provides a GPU implementation of the Partial Least Squares (PLS) algorithm.
A MATLAB toolbox for supervised linear dimension reduction (SLDR) including LDA, HLDA, PLSDA, MMDA, HMMDA and SDA
Least squares adjustment software
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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