Selecting Variables in Regression Models R package FWDselect version 2.1.1 A simple method to select the best model or best subset of variables using different types of data (binary, Gaussian or Poisson) and applying it in different contexts (parametric or non-parametric). Implemented methodology described in: M. Sestelo, N. M. Villanueva, L. Meira-Machado and J. Roca-Pardiñas (2016). FWDselect: an R package for variable selection in regression models. The R Journal, 8 (1), 132-148. <doi:10.32614/RJ-2016-009>. Software Depends: R (>= 3.1.0) Imports: cvTools, mgcv, parallel, graphics, stats Marta Sestelo <sestelo@uvigo.gal> Comprehensive R Archive Network (CRAN) Marta Sestelo [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-4284-6509>), Nora M. Villanueva [aut, cph], Javier Roca-Pardinas [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=FWDselect/LICENSE) 2026-04-27 application/tgz https://CRAN.R-project.org/package=FWDselect doi:10.32614/CRAN.package.FWDselect