Competitive Adaptive Reweighted Sampling (CARS) Algorithm R package carsAlgo version 0.5.0 Implements Competitive Adaptive Reweighted Sampling (CARS) algorithm for variable selection from high-dimensional dataset using Partial Least Squares (PLS) regression models. CARS algorithm iteratively applies the Monte Carlo sub-sampling and exponential variable elimination techniques to identify/select the most informative variables/features subjected to minimal cross-validated RMSE score. The implementation of CARS algorithm is inspired from the work of Li et al. (2009) <doi:10.1016/j.aca.2009.06.046>. This algorithm is widely applied in near-infrared (NIR), mid-infrared (MIR), hyperspectral chemometrics areas, etc. Software Depends: R (>= 4.1.0) Imports: ggplot2, pls, rlang, stats, utils Md. Ashraful Haque <ashrafulhaque664@gmail.com> Comprehensive R Archive Network (CRAN) Md. Ashraful Haque [aut, cre], Avijit Ghosh [aut], Sayantani Karmakar [aut], Harsh Sachan [aut], Shalini Kumari [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=carsAlgo/LICENSE) 2026-04-16 application/tgz https://CRAN.R-project.org/package=carsAlgo doi:10.32614/CRAN.package.carsAlgo