Algorithm Portfolio Selection with Machine Learning R package ASML version 1.1.0 A wrapper for machine learning (ML) methods to select among a portfolio of algorithms based on the value of a key performance indicator (KPI). A number of features is used to adjust a model to predict the value of the KPI for each algorithm, then, for a new value of the features the KPI is estimated and the algorithm with the best one is chosen. To learn it can use the regression methods in 'caret' package or a custom function defined by the user. Several graphics available to analyze the results obtained. This library has been used in Ghaddar et al. (2023) <doi:10.1287/ijoc.2022.0090>). Software Depends: R (>= 3.5.0) Imports: caret, ggplot2, DALEX, dplyr, purrr, tibble, tidyr, reshape2, Polychrome, scales, rlang Suggests: snow Brais González-Rodríguez <brais.gonzalez.rodriguez@uvigo.gal> Comprehensive R Archive Network (CRAN) Brais González-Rodríguez [aut, cre] (ORCID: <https://orcid.org/0000-0001-5276-2320>), Ignacio Gómez-Casares [aut] (ORCID: <https://orcid.org/0000-0003-0420-7319>), Beatriz Pateiro-López [aut] (ORCID: <https://orcid.org/0000-0002-7714-1835>), Julio González-Díaz [aut] (ORCID: <https://orcid.org/0000-0002-4667-4348>), María Caseiro-Arias [ctb], Antonio Fariña-Elorza [ctb], Manuel Timiraos-López [ctb] GPL-3 2025-09-29 application/tgz https://CRAN.R-project.org/package=ASML doi:10.32614/CRAN.package.ASML en-US