geigen_cov              Generalized eigenproblem on a covariance matrix
genpca                  Generalised Principal Components Analysis
                        (GPCA)
genpca_cov              Generalized PCA on a covariance matrix (GMD
                        form)
genpls                  Generalized PLS via Implicit Operator (PLS-SVD
                        / GPLSSVD)
genplsc                 Canonical Generalized PLS (alias)
gmd_clear_cache         Clear internal cache for matrix decompositions
gpca_mle                Experimental penalized-ML estimation of GPCA
                        metrics
gplssvd_op              Generalized PLS-SVD via Implicit Operator
                        (memory-safe)
mnpca_mrl               Matrix-Normal PCA via Maximum Regularized
                        Likelihood
print.sfpca             Print an sfpca fit
reconstruct.genpca      Reconstruct data from a genpca fit
reconstruct.sfpca       Reconstruct data from an sfpca fit
repair_metric           Repair a metric matrix explicitly
rpls                    Regularised / Generalised Partial Least Squares
                        (RPLS / GPLS)
sfpca                   Sparse and Functional Principal Components
                        Analysis (SFPCA) with Spatial Coordinates
transfer.cross_projector
                        Compatibility wrapper for
                        multivarious::transfer
truncate                Truncate a projection to fewer components
truncate.genpca         Truncate a genpca fit to fewer components
