Hi,
can anyone please explain why the vif should have more than 2 terms.
*vif.lm(lmobj) : model contains fewer than 2 terms*
why it is throwng error if it is one variable.
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Thanks in Advance
Arun
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vif function using lm object
2 messages · arunkumar1111, Liviu Andronic
2 days later
On Wed, Dec 21, 2011 at 9:28 AM, arunkumar1111 <akpbond007 at gmail.com> wrote:
Hi, ? can anyone please explain why the vif should have more than 2 terms. *vif.lm(lmobj) : model contains fewer than 2 terms* why it is throwng error if it is one variable.
The _VIF_ is a measure of _multicollinearity_, which occurs between two or more predictors in a regression model. In other words, you cannot have collinearity in a single predictor. Also, to compute the VIF you need to regress one regressor on all the remaining regressors. If you have a single regressor, then you cannot estimate a VIF. See the related articles on Wikipedia. Regards Liviu
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