There are 2 repositories under partial-least-squares-regression topic.
Explorative multivariate statistics in Python
Implementation of a Partial Least Squares Regressor
R package for High dimensional data analysis and integration with O2PLS!
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.
R package plsdepot
The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's coordinates, semi-minor, and semi-major axes lengths.
Specialized linear, polynomial (including equality constraints on points and slopes), multivariate and nonlinear regression/curve fitting functions.
R scripts for predicting soil organic carbon using soil spectral library from visible, near-infrared and shortwave-infrared (VNIR) and middle-infrared (MIR) using LASSO and PLS regression methods and the target-oriented cross-validation strategy.
Correlation for African Soil between chemistry and fertility data using Logistic Regression. Treatment of infrared (FTIR) spectra by machine learning.
Research compendium for "Using the right tool for the job: understanding the difference between unsupervised and supervised analyses of multivariate ecological data."
Python implementation of the paper "A study on wrist identification for forensic investigation" https://www.sciencedirect.com/science/article/abs/pii/S0262885619300733
PLS Lesson
Prediction of Miles per gallon (MPG) Using Cars Dataset
Age estimation is performed from the facial images.
Model Selection Using PCR, PLSR, Best subsets, Ridge Regression and Lasso Regression
Machine Learning Project
Ejercicio de regresiones por distintos métodos (Mejor Selección de Conjuntos, Selección de pasos hacia adelante, Ridge, LASSO, Elastic Net, Componentes Principales, Mínimos Cuadrados Parciales, etc.)
PCA, Clustering, LDA y PLS Regression aplicado a estadísticas de partidas reales de Fortnite.
This project is aimed at predicting loan terms issued by World Bank to developing countries by using Regression, Decision Trees, K-Nearest Neighbors & PLSR in R
This repository focuses on different linear regression methods which are uncommon.