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Department of Food Science - Chemometrics (University of Copenhagen)

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Lovelace's Square - SCREAM

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MIT | 1.0 | 2026-02-19

SCREAM

RegressionMATLAB

Federico Marini [1]Rasmus Bro [2]

[1]Department of Chemistry, Sapienza University of Rome, Italy;[2]Department of Food Science, University of Copenhagen, Denmark

SCREAM (Shifted Covariates REgression Analysis for Multi-way data) combines PARAFAC2 and principal covariates regression (PCovR) for multi-way regression. Overcomes inaccuracy from shifts or peak shape changes in one mode common in hyphenated chromatography. Combines PARAFAC2 decomposition with PCovR-like regression coefficients, performing as well or better than N-PLS on real and simulated datasets.

Reference: Marini, F.; Bro, R. (2013). SCREAM: A novel method for multi-way regression problems with shifts and shape changes in one mode. Chemometrics and Intelligent Laboratory Systems, 129, 64-75. https://doi.org/10.1016/j.chemolab.2013.09.012

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