Semi-Supervised Ensemble Learning R package ssel version 0.3.1 Weighted-ensemble regression over base learners supported by 'caret' (Kuhn (2008) <doi:10.18637/jss.v028.i05>), with cross-validated hyperparameter selection, out-of-fold diagnostics, and signed residual- offset estimates. Multi-response problems use iterative input-space expansion related to Spyromitros-Xioufis et al. (2016) <doi:10.1007/s10994-016-5546-z>, with Jacobi or 'Gauss-Seidel' sweeps, package-defined companion gates and per-response iteration stitching. A package-defined pseudo-label stage promotes prediction rows by a cross-model and cross-dataset range ratio and accepts rounds with an out-of-fold squared-correlation gauge. Software Depends: R (>= 4.1.0) Imports: caret, crayon, data.table, dbscan, digest, doParallel, earth, foreach, gbm, jsonlite, ranger, stats, utils Suggests: devtools, htmlwidgets, knitr, pak, pkgdown, rcmdcheck, rmarkdown, roxygen2, rhub, testthat (>= 3.0.0), webshot2 Alejandro Verri Kozlowski <averri@fi.uba.ar> Comprehensive R Archive Network (CRAN) Alejandro Verri Kozlowski [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-8535-1170>) MIT + file LICENSE (https://CRAN.R-project.org/package=ssel/LICENSE) 2026-07-28 application/tgz https://CRAN.R-project.org/package=ssel doi:10.32614/CRAN.package.ssel en-US