partial-least-squares-regression | Topic

Topic: "partial-least-squares-regression"

olivertomic/hoggorm

Explorative multivariate statistics in Python

Language: Python - Size: 3.95 MB - Last synced at: 7 days ago - Pushed at: almost 4 years ago - Stars: 81 - Forks: 25

BiRG/pyopls

A Python 3 implementation of orthogonal projection to latent structures

Language: Python - Size: 1.69 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 63 - Forks: 19

lalvim/PartialLeastSquaresRegressor.jl

Implementation of a Partial Least Squares Regressor

Language: Julia - Size: 172 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 41 - Forks: 6

selbouhaddani/OmicsPLS

R package for High dimensional data analysis and integration with O2PLS!

Language: HTML - Size: 31.4 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 32 - Forks: 8

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).

Language: Python - Size: 2.29 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 27 - Forks: 5

sm00thix/cvmatrix

Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).

Language: Python - Size: 1.36 MB - Last synced at: 24 days ago - Pushed at: 4 months ago - Stars: 22 - Forks: 2

JBris/multivariate_analysis_examples

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.

Language: Python - Size: 40 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 18 - Forks: 3

nanxstats/enpls

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

Language: R - Size: 27.5 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 8

mlesnoff/rchemo

R package for regression and discrimination, with special focus on chemometrics and high-dimensional data (This package is only maintained. The new current package is "Jchemo", under construction in Julia language)

Language: R - Size: 3.53 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 2

gastonstat/plsdepot

R package plsdepot

Language: R - Size: 48.8 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 12

mlesnoff/rnirs

R Package not developed anymore (only maintenance). Replaced by package rchemo

Language: R - Size: 17.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0

ChristianGoueguel/HotellingEllipse

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.

Language: R - Size: 68.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 7 - Forks: 0

nanxstats/OHPL

📈 Ordered Homogeneity Pursuit Lasso for Group Variable Selection

Language: R - Size: 4.01 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 7 - Forks: 1

AlexanderSouthan/pyDataFitting

Specialized linear, polynomial (including equality constraints on points and slopes), multivariate and nonlinear regression/curve fitting functions.

Language: Python - Size: 143 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 1

opsabarsec/African-soil-chemistry-fertility-correlation Fork of qedsoftware/afsis-soil-chem-tutorial

Correlation for African Soil between chemistry and fertility data using Logistic Regression. Treatment of infrared (FTIR) spectra by machine learning.

Language: Jupyter Notebook - Size: 147 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 3

eupassarinho/soil-carbon-and-spectroscopy-with-PLS-and-LASSO

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.

Language: R - Size: 35.2 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

Aariq/PCA-vs-PLS 📦

Research compendium for "Using the right tool for the job: understanding the difference between unsupervised and supervised analyses of multivariate ecological data."

Language: R - Size: 310 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

SCnext/SCGLR

An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM estimation in the multivariate context. Covariates can be grouped in themes.

Language: R - Size: 8.63 MB - Last synced at: 22 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 1

adelenelai/statmodels

Language: R - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

MoinDalvs/Learn_Multi_Linear_Regression

Prediction of Miles per gallon (MPG) Using Cars Dataset

Language: Jupyter Notebook - Size: 582 KB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

canbax/PyWristIdentification

Python implementation of the paper "A study on wrist identification for forensic investigation" https://www.sciencedirect.com/science/article/abs/pii/S0262885619300733

Language: Python - Size: 3.16 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

junya737/weighted-pls-regression

A Python implementation of Weighted Partial Least Squares Regression with support for sample weights.

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 21 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

CarlosADuranVIllalobos/Breast_Cancer_Diagnosis_ML

This project demonstrates the use of machine learning models to predict breast cancer diagnoses. The repository covers the entire workflow from data preprocessing and feature engineering to model training and evaluation, providing insights into diagnosis prediction with various ML models.

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0