Statistical Significance Testing for Principal Components // Identifies principal components whose eigenvalues exceed those expected under noise. Implements analytical thresholds derived from the Marchenko-Pastur distribution (Marchenko and Pastur, 1967) doi:10.1070/SM1967v001n04ABEH001994 and empirical permutation tests, and provides functions for visualizing observed and null eigenvalue spectra.