at underlying Principal Components Analysis (PCA) in statistics poli0j. The n-dimensional spaces we define here, like those used in PCA or LSI (for Latent Semantic Indexing II.NIDK(l7j), are defined by sets of or- thogonal concepts extracted from the original space of concepts. The difference is that PCA and LSI work on spaces of e