In this table are displayed the residual variance before and after the transformations, the contribution to the evolution of the variance of the rescaling, rotation and translation steps. Inspired from the format of the analysis of variance table of the linear model, this table allows you to evaluate the relative contribution of each transformation to the evolution of the variance. Results for the Generalized Procrustes Analysis in XLSTAT PANOVA table The latter can happen in sensory data analysis if one of the judges has not evaluated a product. Which algorithm performs best (in terms of least squares) depends on the dataset, but the Commandeur algorithm is the only one that allows to take into account missing data by missing data we mean here that for a given configuration and a given observation or row, the values were not recorded for all the dimensions of the configuration. XLSTAT is the unique product offering the choice between the two main available algorithms: the one based on the works initiated by John Gower (1975), and the later one described in the thesis of Jacques Commandeur (1991). Statistical analysis in excel for gpa studies series#
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