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  1. Commons Math
  2. MATH-857

Include a VIF and TOLERANCE check for a 2 dimensional double array, to determine variables that cause multi-colinearity issues and should be excluded from the models

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Details

    • New Feature
    • Status: Closed
    • Minor
    • Resolution: Won't Fix
    • 3.0
    • None
    • None
    • can apply to all operating systems

    Description

      Multicollinearity is a statistical phenomenon in which two or more predictor variables in any multiple regression model are highly correlated. Tolerance and VIF are checks that allows to avoid optimization failes due to "inability to converge". Most of the times, the major packages (SAS, SPSS etc), have a check prior to running the model and they exclude variables that might cause these kind of problems. It is quite a useful tool to be in common maths.

      Attachments

        1. Multicolinearity.java
          6 kB
          Marios Michaelidis
        2. FOR TOLERANCE.rar
          449 kB
          Marios Michaelidis

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            Unassigned Unassigned
            marios_michaelidis Marios Michaelidis
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