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arXiv · 2604.19265

From design of experiments to analysis of variance of multivariate data: a tutorial review on ANOVA simultaneous component analysis

José Camacho·Jokin Ezenarro·Daniel Schorn-García·Johan A. Westerhuis
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Abstract

ANOVA Simultaneous Component Analysis (ASCA) is the current state-of-theart chemometric tool for analyzing and interpreting high-dimensional experimental data from a Design of Experiment (DoE). Being a multivariate extension of the ANOVA, ASCA makes a perfect tandem with DoE. This tutorial review recommends best practices for using ASCA, building upon the long-established combination of ANOVA and DoE theory developed over the last century. These recommendations are grounded in a comprehensive literature review and illustrated through a guiding example.

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José Camacho, Jokin Ezenarro, Daniel Schorn-García, Johan A. Westerhuis. 2026-04-21. From design of experiments to analysis of variance of multivariate data: a tutorial review on ANOVA simultaneous component analysis. https://doi.org/10.1002/cem.70151

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