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Correction of multicollinearity is not simple. It often results from too many variables in the model caused by "over-fitting".
In stepwise regression you examine the impact of each variable to the model step by step. The variable that cannot contribute much to the variance explained (not statistically significant) would be removed.
Edited 1 time(s). Last edit at Tuesday, April 12, 2011 at 12:44PM by Iginla2010. |
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发表于 2011-7-11 19:28
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