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It proposes a novel variable selection approach taking into account the correlations that may exist between the predictors of the design matrix in a highdimensional linear model. Our approach consists in rewriting the initial highdimensional linear model to remove the correlation between the predictors and in applying the generalized Lasso criterion. For further details we refer the reader to the paper <arXiv:2007.10768> (Zhu et al., 2020).
Package details 


Author  Wencan Zhu [aut, cre], Celine LevyLeduc [ctb], Nils Ternes [ctb] 
Maintainer  Wencan Zhu <wencan.zhu@agroparistech.fr> 
License  GPL2 
Version  1.0 
Package repository  View on CRAN 
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