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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/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/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/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