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Updated: May 14, 2026

Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 24, 2010
Multivariate curve resolution: a review of advanced and tailored applications and challenges
1LASIR CNRS, Université Lille Nord de France, Villeneuve d'Ascq cedex, France. Cyril.ruckebusch@univ-lille1.fr
Abstract:
Multivariate curve resolution (MCR) is a widespread methodology for the analysis of process data in many different application fields. This article intends to propose a critical review of the recently published works. Particular attention will be paid to situations requiring advanced and tailored applications of multivariate curve resolution, dealing with improvements in preprocessing methods, multi-set data arrangements, tailored constraints, issues related to non-ideal noise structure and deviation to linearity. These analytical issues are tackling the limits of applicability of MCR methods and, therefore, they can be considered as the most challenging ones.
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