Package: BORT Type: Package Title: Beyond Pareto: Bi-Objective and Multi-Objective Regression Trees’ Version: 0.1.0 Authors@R: c(person(given = c("Erick", "G.G."), family = "de Paz", role = c("aut", "cre"), email = "erick.giles@cimat.mx", comment = c(ORCID = "0000-0001-7878-8238")), person(given = "Arturo", family = "Hernández-Aguirre", role = "aut", comment = c(ORCID = "0000-0002-3744-9827")), person(given = "Iván", family = "Cruz-Aceves", role = "aut", comment = c(ORCID = "0000-0002-5197-2059"))) Author: Erick G.G. de Paz [aut, cre] (ORCID: ), Arturo Hernández-Aguirre [aut] (ORCID: ), Iván Cruz-Aceves [aut] (ORCID: ) Maintainer: Erick G.G. de Paz Description: Implements the Bi-objective Regression Tree (BORT) for efficiently learning vector-valued functions. Unlike traditional methods that rely on constructing multiple models or static scalarisation, BORT integrates the exploration of the Pareto front directly into a single tree's growth process. It provides high-efficiency, single-model approaches that can Pareto-dominate entire Pareto-consistent families of trees, supported by a C backend for fast computation. For more details see Paz (2026) and Paz (2025) . License: GPL-2 Encoding: UTF-8 NeedsCompilation: yes Date: 2026-07-01 Depends: R (>= 2.10.0) Packaged: 2026-07-07 17:16:04 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2026-07-07 09:50:08 UTC RemoteUrl: https://github.com/cran/BORT RemoteRef: HEAD RemoteSha: 4e8d2a2f68ba5052305edeaf2cde314fa462862c