Linear SVM-Based Recursive Decision Trees R package svmodt version 0.1.0 Implements Support Vector Machine Oblique Decision Trees (SVMODT). Recursively builds classification trees using linear Support Vector Machines (SVM) hyperplanes at each node instead of axis-parallel splits, creating oblique decision boundaries. Features include multiple feature selection methods, dynamic feature subset strategies, class weight support for imbalanced datasets, pruning and feature penalization. Software Depends: R (>= 3.5) Imports: rlang, e1071, FSelectorRcpp, ggplot2 Suggests: knitr, rmarkdown, bookdown, testthat (>= 3.0.0), rpart, rsample, gridExtra, tidyr, kableExtra, palmerpenguins, dplyr Aneesh Agarwal <aaga0022@student.monash.edu> Comprehensive R Archive Network (CRAN) Aneesh Agarwal [aut, cre, cph], Jack Jewson [aut, ths], Erik Sverdrup [aut, ths] GPL (>= 3) 2026-06-30 application/tgz https://CRAN.R-project.org/package=svmodt doi:10.32614/CRAN.package.svmodt