Projects in Awesome Lists tagged with partial-least-squares-regression
A curated list of projects in awesome lists tagged with partial-least-squares-regression .
https://github.com/olivertomic/hoggorm
Explorative multivariate statistics in Python
chemometrics explorative-statistics multivariate-analysis multivariate-statistics partial-least-squares-regression principal-component-analysis statistics
Last synced: 04 Apr 2025
https://github.com/lalvim/partialleastsquaresregressor.jl
Implementation of a Partial Least Squares Regressor
julia julia-language kernel-pls2 leastsquares linear-algorithm machine-learning machine-learning-algorithms multivariate-analysis nipals partial-least-squares-regression pls pls-mlj-model pls1 regression regression-algorithms regression-analysis regressor squares-regressor
Last synced: 13 Feb 2025
https://github.com/selbouhaddani/OmicsPLS
R package for High dimensional data analysis and integration with O2PLS!
bioinformatics biostatistics data-integration latent-variable-models multi-omics omics partial-least-squares-regression pca pls principal-component-analysis
Last synced: 13 Apr 2025
https://github.com/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.
canonical-correlation-analysis concrete dimension-reduction dimensionality-reduction factor-analysis mds multivariate multivariate-analysis multivariate-data multivariate-distributions multivariate-linear-regression multivariate-regression multivariate-statistics nmds partial-least-squares partial-least-squares-regression pca pca-analysis pls redundancy-analysis
Last synced: 04 May 2025
https://github.com/nanxstats/enpls
Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
chemometrics dimensionality-reduction ensemble-learning machine-learning outlier-detection partial-least-squares-regression
Last synced: 22 Apr 2025
https://github.com/nanxstats/ohpl
📈 Ordered Homogeneity Pursuit Lasso for Group Variable Selection
chemometrics high-dimensional-data homogeneity-pursuit lasso partial-least-squares-regression spectroscopy variable-selection
Last synced: 22 Apr 2025
https://github.com/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.
package partial-least-squares-regression r
Last synced: 15 Apr 2025
https://github.com/moindalvs/learn_multi_linear_regression
Prediction of Miles per gallon (MPG) Using Cars Dataset
cooks-distance correlation-matrix data-preprocessing data-science feature feature-engineering feature-selection high-leverage i multi-linear-regression normality-test outliers-detection outliers-influence partial-least-squares-regression residual-analysis variance-inflation-factor
Last synced: 11 Mar 2025
https://github.com/junya737/weighted-pls-regression
A Python implementation of Weighted Partial Least Squares Regression with support for sample weights.
machine-learning partial-least-squares-regression scikit-learn
Last synced: 18 Feb 2025
https://github.com/animesh-chourey/age-estimation-by-regression
Age estimation is performed from the facial images.
multiple-linear-regression partial-least-squares-regression regression-tree support-vector-regression
Last synced: 01 Mar 2025
https://github.com/sdrttnclskn/tez-calismasi
Makine Öğrenme Metotları Kullanılarak Fonların Fiyat Tahmin için Model Geliştirilmesi
machine-learning master-thesis neural-network nonlinear-regression partial-least-squares-regression prediction-algorithm prediction-model price-prediction ridge-regression support-vector-regression
Last synced: 26 Feb 2025