Print Email Facebook Twitter A framework for sequential multiblock component methods Title A framework for sequential multiblock component methods Author Smilde, A.K. Westerhuis, J.A. de Jong, S. Centraal Instituut voor Voedingsonderzoek TNO TNO Voeding Publication year 2003 Abstract Multiblock or multiset methods are starting to be used in chemistry and biology to study complex data sets. In chemometrics, sequential multiblock methods are popular; that is, methods that calculate one component at a time and use deflation for finding the next component. In this paper a framework is provided for sequential multiblock methods, including hierarchical PCA (HPCA; two versions), consensus PCA (CPCA; two versions) and generalized PCA (GPCA). Properties of the methods are derived and characteristics of the methods are discussed. All this is illustrated with a real five-block example from chromatography. The only methods with clear optimization criteria are GPCA and one version of CPCA. Of these, GPCA is shown to give inferior results compared with CPCA. Copyright © 2003 John Wiley & Sons, Ltd. Subject PackagingAnalytical researchConsensus PCAGeneralized PCAHierarchical PCAMultiblock methodsMultiway methodsReversed phase liquid chromatographyStationary phasesBiologyCalculationChemometricsData analysisPrincipal component analysisReversed phase liquid chromatographyScientific literatureSequential analysisTime To reference this document use: http://resolver.tudelft.nl/uuid:974bfd4d-1c55-4bfb-9e19-48285f1aa530 DOI https://doi.org/10.1002/cem.811 TNO identifier 237118 ISSN 0886-9383 Source Journal of Chemometrics, 17 (6), 323-337 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.