Pseudo-Expectation Gauss-Seidel // A lightweight, dependency- free, and simplified implementation of the Pseudo-Expectation Gauss-Seidel (PEGS) algorithm. It fits the multivariate ridge regression model for genomic prediction Xavier and Habier (2022) doi:10.1186/s12711-022-00730-w and Xavier et al. (2025) doi:10.1093/genetics/iyae179, providing heritability estimates, genetic correlations, breeding values, and regression coefficient estimates for prediction. This package provides an alternative to the 'bWGR' package by Xavier et al. (2019) doi:10.1093/bioinformatics/btz794 by using 'LAPACK' for its algebraic operations.