Message-ID: <CABxs9VmP81u8JPfrcNfqrdT2sJTf6Q0N9ALw6FjkC0uBObN-8A@mail.gmail.com>
Date: 2011-12-23T17:53:16Z
From: Liviu Andronic
Subject: vif function using lm object
In-Reply-To: <1324456135388-4220904.post@n4.nabble.com>
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
>
>
>
> -----
> Thanks in Advance
> ? ? ? ?Arun
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