Hybrid Stepwise Regression with Single-Split Dummy Encoding R package SplitWise version 1.0.2 Implements 'SplitWise', a hybrid regression approach that transforms numeric variables into either single-split (0/1) dummy variables or retains them as continuous predictors. The transformation is followed by stepwise selection to identify the most relevant variables. The default 'iterative' mode adaptively explores partial synergies among variables to enhance model performance, while an alternative 'univariate' mode applies simpler transformations independently to each predictor. For details, see Kurbucz et al. (2025) <doi:10.48550/arXiv.2505.15423>. Software Depends: R (>= 3.5.0) Imports: rpart, stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Marcell T. Kurbucz <m.kurbucz@ucl.ac.uk> Comprehensive R Archive Network (CRAN) Marcell T. Kurbucz [aut, cre], Nikolaos Tzivanakis [aut], Nilufer Sari Aslam [aut], Adam M. Sykulski [aut] GPL (>= 3) 2025-07-31 application/tgz https://CRAN.R-project.org/package=SplitWise doi:10.32614/CRAN.package.SplitWise