On rotational ambiguity in model-free analyses of multivariate data

9 pages, 7 figures.-- Printed version published Jun 2006.Rotational ambiguity is a central but not well investigated problem in all soft-modelling analyses of multivariate data. A novel method which is based on Resolving Factor Analysis (RFA) is proposed. Completely general and exhaustive results are presented for the two-component case. In particular the effects of noise and global analysis of series of measurements are investigated.Peer reviewe