Package: lmSubsets Version: 0.5-4 Date: 2026-01-15 Title: Exact Variable-Subset Selection in Linear Regression Authors@R: c(person(given = "Marc", family = "Hofmann", role = c("aut", "cre"), email = "marc.hofmann@gmail.com"), person(given = "Cristian", family = "Gatu", role = "aut", email = "cgatu@info.uaic.ro"), person(given = "Erricos J.", family = "Kontoghiorghes", role = "aut", email = "erricos@dcs.bbk.ac.uk"), person(given = "Ana", family = "Colubi", role = "aut", email = "ana.colubi@gmail.com"), person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org", comment = c(ORCID = "0000-0003-0918-3766")), person(given = "Martin", family = "Moene", role = "cph", comment = "for the GSL Lite library"), person(given = "Microsoft Corporation", role = "cph", comment = "for the GSL Lite library")) Maintainer: Marc Hofmann Description: Exact and approximation algorithms for variable-subset selection in ordinary linear regression models. Either compute all submodels with the lowest residual sum of squares, or determine the single-best submodel according to a pre-determined statistical criterion. Hofmann et al. (2020) . Depends: R (>= 3.5.0) SystemRequirements: C++17, Imports: stats, graphics, utils License: GPL (>= 3) URL: https://github.com/marc-hofmann/lmSubsets.R Repository: https://marc-hofmann.r-universe.dev Date/Publication: 2026-01-15 20:05:36 UTC RemoteUrl: https://github.com/marc-hofmann/lmsubsets.r RemoteRef: HEAD RemoteSha: e86f3fd9d8b3844942180c1eb4d62d9cd9b9fd5f RemoteSubdir: pkg NeedsCompilation: yes Packaged: 2026-06-14 09:24:42 UTC; root Author: Marc Hofmann [aut, cre], Cristian Gatu [aut], Erricos J. Kontoghiorghes [aut], Ana Colubi [aut], Achim Zeileis [aut] (ORCID: ), Martin Moene [cph] (for the GSL Lite library), Microsoft Corporation [cph] (for the GSL Lite library)