Sequential Input Selection Algorithm R package sisal version 0.49 Implements the SISAL algorithm by Tikka and Hollmén. It is a sequential backward selection algorithm which uses a linear model in a cross-validation setting. Starting from the full model, one variable at a time is removed based on the regression coefficients. From this set of models, a parsimonious (sparse) model is found by choosing the model with the smallest number of variables among those models where the validation error is smaller than a threshold. Also implements extensions which explore larger parts of the search space and/or use ridge regression instead of ordinary least squares. Software Depends: R (>= 4.3.0) Imports: graphics, grDevices, grid, methods, stats, utils, boot, lattice, mgcv, digest, R.matlab, R.methodsS3 Suggests: graph, Rgraphviz, testthat (>= 0.8) Mikko Korpela <mvkorpel@iki.fi> Comprehensive R Archive Network (CRAN) Mikko Korpela [aut, cre] GPL (>= 2) 2024-10-26 application/tgz https://CRAN.R-project.org/package=sisal doi:10.32614/CRAN.package.sisal