Decorrelation Overview
Decorrelation allows the user to identify inputs that are highly correlated with each other. Decorrelating the data set by marking highly correlated variables and removing them from the selected model inputs will result in a more reliable model of the process. Decorrelation is facilitated by a correlation matrix accessed from the Preparation and modeling input selection views.
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