%0 Conference Proceedings %T An empirical comparison between PLS, LASSO, Elasticnet and other models for highly correlated data %+ Centre d'études et de recherche en informatique et communications (CEDRIC) %+ CEDRIC. Méthodes statistiques de data-mining et apprentissage (CEDRIC - MSDMA) %+ Institut supérieur des sciences appliquées et économiques - CNAM Liban (ISSAE-CNAM Liban) %A Youness, Genane %A Nassar, Wassim %< avec comité de lecture %( PLS'14 Book of Abstracts %B 8th International Conference on Partial Least Square and Related Methods %C Paris, France %8 2014-05-26 %D 2014 %K LASSO %K Elasticnet %K PLS PARTIAL LEAST SQUARES %K Multicollinearity %K Ridge regression %K PLS %K Lasso %K and Elasticnet %Z Statistics [stat]Conference papers %X 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. %G English %2 https://cnam.hal.science/hal-04045451/document %2 https://cnam.hal.science/hal-04045451/file/PLS014MulticolVF.pdf %L hal-04045451 %U https://cnam.hal.science/hal-04045451 %~ CNAM %~ CEDRIC-CNAM %~ TEST3-HALCNRS %~ HESAM-CNAM %~ HESAM