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Exact and approximation algorithms for variablesubset selection in ordinary linear regression models. Either compute all submodels with the lowest residual sum of squares, or determine the singlebest submodel according to a predetermined statistical criterion. Hofmann et al. (2020) <10.18637/jss.v093.i03>.
Package details 


Author  Marc Hofmann [aut, cre], Cristian Gatu [aut], Erricos J. Kontoghiorghes [aut], Ana Colubi [aut], Achim Zeileis [aut] (<https://orcid.org/0000000309183766>), Martin Moene [cph] (for the GSL Lite library), Microsoft Corporation [cph] (for the GSL Lite library), Free Software Foundation, Inc. [cph] (for snippets from the GNU ISO C++ Library) 
Maintainer  Marc Hofmann <marc.hofmann@gmail.com> 
License  GPL (>= 3) 
Version  0.51 
URL  https://github.com/marchofmann/lmSubsets.R 
Package repository  View on CRAN 
Installation 
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