Multi-block Toolbox

The 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.