D.A. Belsley, E. Kuh, and R.E. Welsch. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. Wiley Series in Probability and Statistics - Applied Probability and Statistics Section Series. Wiley, 1980. ISBN 9780471058564.
George EP Box. Some theorems on quadratic forms applied in the study of analysis of variance problems, i. effect of inequality of variance in the one-way classification. The annals of mathematical statistics, pages 290–302, 1954.
Rasmus Bro. Parafac. tutorial and applications. Chemometrics and intelligent laboratory systems, 38(2):149–171, 1997.
Rasmus Bro, Evrim Acar, and Tamara G Kolda. Resolving the sign ambiguity in the singular value decomposition. Journal of Chemometrics: A Journal of the Chemometrics Society, 22(2):135–140, 2008.
Rasmus Bro and Henk AL Kiers. A new efficient method for determining the number of components in parafac models. Journal of Chemometrics: A Journal of the Chemometrics Society, 17(5):274–286, 2003.
Rasmus Bro, Riccardo Leardi, and Lea Giørtz Johnsen. Solving the sign indeterminacy for multiway models. Journal of Chemometrics, 27(3-4):70–75, 2013.
Paul E Buis and Wayne R Dyksen. Efficient vector and parallel manipulation of tensor products. ACM Transactions on Mathematical Software (TOMS), 22(1):18–23, 1996.
David F Crouse. On implementing 2d rectangular assignment algorithms. IEEE Transactions on Aerospace and Electronic Systems, 52(4):1679–1696, 2016.
David C Hoaglin and Roy E Welsch. The hat matrix in regression and anova. The American Statistician, 32(1):17–22, 1978.
P.J. Huber and E.M. Ronchetti. Robust Statistics. Wiley Series in Probability and Statistics. Wiley, 2009. ISBN 9780470129906.
J Edward Jackson. Principal components and factor analysis: part i—principal components. Journal of Quality Technology, 12(4):201–213, 1980.
Henk AL Kiers. Some procedures for displaying results from three-way methods. Journal of Chemometrics: A Journal of the Chemometrics Society, 14(3):151–170, 2000.
Tamara G Kolda and Brett W Bader. Tensor decompositions and applications. SIAM review, 51(3):455–500, 2009.
Wilhelmus Petrus Krijnen. The analysis of three-way arrays by constrained PARAFAC methods. DSWO Press, Leiden University, 1993.
Wim P Krijnen, Theo K Dijkstra, and Alwin Stegeman. On the non-existence of optimal solutions and the occurrence of “degeneracy” in the candecomp/parafac model. Psychometrika, 73(3):431–439, 2008.
Paul Nomikos and John F MacGregor. Multivariate SPC charts for monitoring batch processes. Technometrics, 37(1):41–59, 1995.
Tormod Næs, Tomas Isaksson, Tom Fearn, and Tony Davies. A user-friendly guide to multivariate calibration and classification. Volume 6. NIR Chichester, 2002.
Pentti Paatero. Construction and analysis of degenerate parafac models. Journal of Chemometrics: A Journal of the Chemometrics Society, 14(3):285–299, 2000.
Evangelos E Papalexakis and Christos Faloutsos. Fast efficient and scalable core consistency diagnostic for the parafac decomposition for big sparse tensors. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5441–5445. IEEE, 2015.
Age Smilde, Paul Geladi, and Rasmus Bro. Multi-way analysis: applications in the chemical sciences. John Wiley & Sons, 2005.
Alwin Stegeman. Degeneracy in candecomp/parafac explained for p× p× 2 arrays of rank p+ 1 or higher. Psychometrika, 71(3):483–501, 2006.
Paul F Velleman and Roy E Welsch. Efficient computing of regression diagnostics. The American Statistician, 35(4):234–242, 1981.
Bonne JH Zijlstra and Henk AL Kiers. Degenerate solutions obtained from several variants of factor analysis. Journal of Chemometrics: A Journal of the Chemometrics Society, 16(11):596–605, 2002.
Eigenvector Research. MCR and PARAFAC Variance Captured. https://web.archive.org/web/20210412131553/https://wiki.eigenvector.com/index.php?title=MCR_and_PARAFAC_Variance_Captured, 2011. Accessed: 2022-04-14.