title: Resolution of rotational ambiguity for three-component systems.
abstract: Soft modeling of multivariate data is a powerful method for the analysis of processes that cannot be described quantitatively by a chemical model. Soft modeling usually does not result in unique solutions. Thus, the determination of the range of feasible solutions is important. For two-component systems the determination of that range is well-understood; for three-component systems the task is remarkably more complex. We present a novel method that can be applied to any multivariate data set, irrespective of overlap or realistic noise level. The expansion to four components is indicated.
authors.affiliation: Faculty of Chemistry, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran.
authors.forename: Azadeh
authors.initials: A
authors.lastname: Golshan
authors.forename: Hamid
authors.initials: H
authors.lastname: Abdollahi
authors.forename: Marcel
authors.initials: M
authors.lastname: Maeder