Regularized Spatial Maximum Covariance Analysis R package SpatMCA version 1.0.7 Provide regularized maximum covariance analysis incorporating smoothness, sparseness and orthogonality of couple patterns by using the alternating direction method of multipliers algorithm. The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D (Wang and Huang, 2018 <doi:10.1002/env.2481>). Software Depends: R (>= 3.4.0) Imports: Rcpp (>= 1.0.12), MASS, ggplot2, scales LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: testthat (>= 2.1.0), RColorBrewer, plot3D, pracma, spTimer, fields, maps, covr, V8 Wen-Ting Wang <egpivo@gmail.com> Comprehensive R Archive Network (CRAN) Wen-Ting Wang [aut, cre] (ORCID: <https://orcid.org/0000-0003-3051-7302>), Hsin-Cheng Huang [aut] (ORCID: <https://orcid.org/0000-0002-5613-349X>) GPL (>= 2) 2025-09-29 application/tgz https://CRAN.R-project.org/package=SpatMCA doi:10.32614/CRAN.package.SpatMCA