On rotational ambiguity in model-free analyses of multivariate data
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. Copyright (c) 2007 John Wiley & Sons, Ltd.
rotational ambiguity multivariate data resolving factor analysis (rfa) global analysis soft modelling