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AoV-PLS: a new method for the analysis of multivariate data depending on several factors

Abstract : A new method for the analysis of a multivariate dataset depending on several factors is proposed. It is called AoV-PLS (Analysis of VariancePLS). It is based on the decomposition of the dataset into the main effects, the interactions effects and possibly the residual matrix using a model akin to analysis of variance (ANOVA). Each effect is considered in turn and assessed through the use of a Partial Least Square regression (PLS-regression). The connection of AoV-PLS to competing methods such as ANOVA-PCA and ANOVA-Simultaneous Component Analysis (ASCA) is emphasized and these methods are compared on the basis of a dataset pertaining to metabolomics field.
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Submitted on : Wednesday, May 27, 2020 - 7:31:40 PM
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El Ghaziri Angelina, El Mostafa Qannari, Thomas Moyon, Marie Cécile Alexandre-Gouabau. AoV-PLS: a new method for the analysis of multivariate data depending on several factors. Electrophoresis, Wiley-VCH Verlag, 2015, 8 (2), pp.214 - 235. ⟨10.1285/i20705948v8n2p214⟩. ⟨hal-02635984⟩

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