Comprehensive Soil Quality Index Computation and Visualization R package SQIpro version 0.1.0 Provides a comprehensive, modular framework for computing the Soil Quality Index (SQI) using six established methods: Linear Scoring (Doran and Parkin, 1994, <doi:10.2136/sssaspecpub35.c1>), Regression-based (Masto et al., 2008, <doi:10.1007/s10661-007-9697-z>), Principal Component Analysis-based (Andrews et al., 2004, <doi:10.2136/sssaj2004.1945>), Fuzzy Logic, Entropy Weighting (Shannon, 1948, <doi:10.1002/j.1538-7305.1948.tb01338.x>), and TOPSIS (Hwang and Yoon, 1981, <doi:10.1007/978-3-642-48318-9>). Implements four variable scoring functions: more-is-better, less-is-better, optimum-value, and trapezoidal, following Karlen and Stott (1994, <doi:10.2136/sssaspecpub35.c4>). Includes automated Minimum Data Set selection via Principal Component Analysis with Variance Inflation Factor filtering (Kaiser, 1960, <doi:10.1177/001316446002000116>), one-way ANOVA with Tukey HSD post-hoc tests, leave-one-out sensitivity analysis, and publication-quality visualization using 'ggplot2'. Software Depends: R (>= 4.0.0) Imports: dplyr (>= 1.0.0), tidyr (>= 1.1.0), ggplot2 (>= 3.3.0), FactoMineR (>= 2.4), factoextra (>= 1.0.7), stats, methods, rlang (>= 0.4.0), matrixStats (>= 0.61.0), glmnet (>= 4.1.0), car (>= 3.0.0) Suggests: openxlsx (>= 4.2.4), readxl (>= 1.3.1), ggpubr (>= 0.4.0), testthat (>= 3.0.0), knitr (>= 1.33), rmarkdown (>= 2.11), spelling (>= 2.2), covr (>= 3.5.0) Sadikul Islam <sadikul.islamiasri@gmail.com> Comprehensive R Archive Network (CRAN) Sadikul Islam [aut, cre] (ORCID: <https://orcid.org/0000-0003-2924-7122>), Rajesh Kaushal [aut] GPL (>= 3) 2026-04-20 application/tgz https://CRAN.R-project.org/package=SQIpro doi:10.32614/CRAN.package.SQIpro en-US