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Conference Papers Year : 2014

An empirical comparison between PLS, LASSO, Elasticnet and other models for highly correlated data

Abstract

We compare seven regression techniques to solve the question of muticollinearity in multiple regression: PCR, PLS regression, with Ridge, Lasso, Lars, Adaptive Lasso and Elasticnet. An application on real data providing from the Lebanese national center for scientific research CNRSL(Centre National de la Recherche Scientifique Liban) on the area of fire in Lebanon forests in 2005 will be made. The comparison of these techniques is discussed along with some of their advantages and disadvantages.
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Dates and versions

hal-04045451 , version 1 (18-04-2023)

Identifiers

  • HAL Id : hal-04045451 , version 1

Cite

Genane Youness, Wassim Nassar. An empirical comparison between PLS, LASSO, Elasticnet and other models for highly correlated data. 8th International Conference on Partial Least Square and Related Methods, PLS2014, May 2014, Paris, France. ⟨hal-04045451⟩
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