Multivariate process modeling by projection methods provides summarizing windows into the multidimensional spaces. For the observations one obtains information such as: similarities, groupings, trends and outliers. For the variables one obtains information such as: importance, correlation, relations between X an Y. The methods are well suited for overview, classification, optimization and forecasting.
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