Robust Hotelling-Type T² Control Chart Based on the Dual STATIS Approach R package robustT2 version 0.1.0 Implements a robust multivariate control-chart methodology for batch-based industrial processes with multiple correlated variables using the Dual STATIS (Structuration des Tableaux A Trois Indices de la Statistique) framework. A robust compromise covariance matrix is constructed from Phase I batches with the Minimum Covariance Determinant (MCD) estimator, and a Hotelling-type T² statistic is applied for anomaly detection in Phase II. The package includes functions to simulate clean and contaminated batches, to compute both robust and classical Hotelling T² control charts, to visualize results via robust biplots, and to launch an interactive 'shiny' dashboard. An internal dataset (pharma_data) is provided for reproducibility. See Lavit, Escoufier, Sabatier and Traissac (1994) <doi:10.1016/0167-9473(94)90134-1> for the original STATIS methodology, and Rousseeuw and Van Driessen (1999) <doi:10.1080/00401706.1999.10485670> for the MCD estimator. Software Depends: R (>= 3.5) Imports: dplyr, MASS, ggplot2, rrcov, shiny, ggrepel, forcats, Matrix Suggests: spelling Sergio Daniel Frutos Galarza <sergio_dan88@hotmail.com> Comprehensive R Archive Network (CRAN) Sergio Daniel Frutos Galarza [aut, cre] (ORCID: <https://orcid.org/0009-0007-2961-032X>), Omar Ruiz Barzola [aut] (ORCID: <https://orcid.org/0000-0001-8206-1744>), Purificación Galindo Villardón [aut] (ORCID: <https://orcid.org/0000-0001-6977-7545>) MIT + file LICENSE (https://CRAN.R-project.org/package=robustT2/LICENSE) 2025-09-10 application/tgz https://CRAN.R-project.org/package=robustT2 doi:10.32614/CRAN.package.robustT2 en-US