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Nonlinear Regression
Authors:Gallant
Institution:Depts. of Statistics and Economics , North Carolina State Univ. , Raleigh , NC , 27607 , USA
Abstract:It is often thought that regression data should be mean-centered before being diagnosed for collinearity (ill conditioning). This view is shown not generally to be correct. Such centering can mask elements of ill conditioning and produce meaningless and misleading collinearity diagnostics. In order to assess conditioning meaningfully, the data must be in a form that possesses structural interpretability.
Keywords:Collinearity  Deviations from the mean  Ill conditioning  Structural interpretability
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