Generalization Error Minimization in SubSampling for Gaussian Processes R package GEMSS version 0.1.1 Implements the Generalization Error Minimization in SubSampling (GEMSS) algorithm for sequential subdata selection in large-scale Gaussian process modeling (Chang, Hua, and Wu, 2026) <doi:10.1080/00401706.2026.2670596>. The method selects data points by a criterion consisting of predictive and space-filling parts, enabling efficient surrogate modeling for massive datasets. Software Imports: Rcpp (>= 1.0.0), hetGP, twinning LinkingTo: Rcpp, RcppArmadillo Suggests: ContourFunctions Sheng-Zhan Hua <szhua@g.ucla.edu> Comprehensive R Archive Network (CRAN) Sheng-Zhan Hua [aut, cre] GPL (>= 3) 2026-05-27 application/tgz https://CRAN.R-project.org/package=GEMSS doi:10.32614/CRAN.package.GEMSS