The SquareMIT | 0.2 | 2026-02-19Multi-block ToolboxMultiblock AnalysisToolboxMATLABThe Multi-block Toolbox implements consensus multi-block PCA (mbpca) and multi-block PLS (mbpls). Provides block scaling, normalization, autoscaling, range scaling, mean centering, matrix correlations, RV coefficients, Procrustes analysis, cross-validation, and SVD-based imputation. Supports multiple X-blocks with customizable preprocessing and computes super scores, block scores/loadings/weights, and explained variance diagnostics.Frans van den Berg [1][1]Department of Food Science, University of Copenhagen, DenmarkGitHub 0 0 0ShareReportComments (0)No comments yet. Be the first to share your thoughts.