The MANOVA tests the presence of significant differences among combinations of levels of factors on several response variables. The advantage of the MANOVA as opposed to several simultaneous ANOVAs lies in the fact that it takes into account correlations between response variables, which results in a richer use of the information contained in the data. Effects of factors are estimated on a combination of several response variables. With the MANOVA, explanatory variables are often called factors. The main difference comes from the nature of the dependent variables: instead of a single one, we can study many of them. The MANOVA uses the same conceptual framework as the ANOVA. Description of the MANOVA in XLSTAT General description
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