Regression Data Analysis System R package regressoR version 4.0.8 Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines. Software Depends: R (>= 4.1) Imports: DT (>= 0.27), gbm (>= 2.2.2), pls (>= 2.8-1), dplyr (>= 1.1.0), psych (>= 2.4.6), shiny (>= 1.7.4), golem (>= 0.3.5), rlang (>= 1.0.6), glmnet (>= 4.1-6), loadeR (>= 1.1.3), shinyjs (>= 2.1.0), traineR (>= 2.2.0), shinyAce (>= 0.4.2), echarts4r (>= 0.4.4), htmltools (>= 0.5.4), rpart.plot (>= 3.1.1), shinydashboard (>= 0.7.2), shinycustomloader (>= 0.9.0), shinydashboardPlus (>= 2.0.3) Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr> Comprehensive R Archive Network (CRAN) Oldemar Rodriguez [aut, cre], Andres Navarro D. [ctb, prg], Diego Jimenez A. [ctb, prg], Ariel Arroyo S. [ctb, prg], Joseline Quiros M. [ctb, prg], Alejandro Vargas V. [ctb, prg], Jennifer Lobo V. [ctb, prg] GPL (>= 2) 2026-03-04 application/tgz https://CRAN.R-project.org/package=regressoR doi:10.32614/CRAN.package.regressoR