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The British Journal of Mathematical and Statistical Psychology|May 20, 2006
Selecting among three-mode principal component models of different types and complexities: a numerical convex hull based methodEva Ceulemans, Henk A L KiersThe British Journal of Mathematical and Statistical Psychology|December 6, 2008
Discriminating between strong and weak structures in three-mode principal component analysisEva Ceulemans, Henk A L KiersBehavior Research Methods|November 10, 2009
The LMPCA program: a graphical user interface for fitting the linked-mode PARAFAC-PCA model to coupled real-valued dataTom F Wilderjans, Eva Ceulemans, Henk A L Kiers, et al.Behavior Research Methods|July 15, 2015
MultiLevel simultaneous component analysis: A computational shortcut and software packageEva Ceulemans, Tom F Wilderjans, Henk A L Kiers, et al.Behavior Research Methods|January 9, 2021
PCovR2: A flexible principal covariates regression approach to parsimoniously handle multiple criterion variablesSopiko Gvaladze, Marlies Vervloet, Katrijn Van Deun, et al.The British Journal of Mathematical and Statistical Psychology|December 19, 2007
Bootstrap confidence intervals in multi-level simultaneous component analysisMarieke E Timmerman, Henk A L Kiers, Age K Smilde, et al.Psychometrika|December 2, 2016
Principal Covariates Clusterwise Regression (PCCR): Accounting for Multicollinearity and Population Heterogeneity in Hierarchically Organized DataTom Frans Wilderjans, Eva Vande Gaer, Henk A L Kiers, et al.Psychometrika|February 16, 2017
Properties of and Algorithms for Fitting Three-Way Component Models with Offset TermsHenk A L KiersStatistics in Medicine|October 13, 2017
A review of tensor-based methods and their application to hospital care dataPaolo Giordani, Henk A L KiersThe British Journal of Mathematical and Statistical Psychology|February 25, 2021
Bootstrap confidence intervals for principal covariates regressionPaolo Giordani, Henk A L KiersPageof 17