MoMA: Modern Multivariate Analysis in R
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Updated
Aug 26, 2019 - R
MoMA: Modern Multivariate Analysis in R
This repository provides a GPU implementation of the Partial Least Squares (PLS) algorithm.
Machine learning tools for the analysis of systems serology data
OCaml wrapper to the pls R package (Partial Least Squares / PLS regression)
Partial Least Squares Path Modeling, Structural Equation Modeling
Partial Total Least Squares routines from Sabine Van Huffel
A Collection of Data-Sets, R-programs, and Vignettes for the Advanced Workshop in Sensory Evaluation of SPISE 2022.
Least squares adjustment software
A MATLAB toolbox for supervised linear dimension reduction (SLDR) including LDA, HLDA, PLSDA, MMDA, HMMDA and SDA
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.
PLS-SEM Interactive Tutorial with cSEM R package
Repo for the article "Dynamics of White Matter Architecture in Lexical Production among Middle-Aged Adults"
Probabilistic O2PLS
Fast CPU and GPU Python implementations of Improved Kernel PLS by Dayal and MacGregor (1997) and Shortcutting Cross-Validation by Engstrøm (2024).
Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).
Least squares adjustment software
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