; > -Original Message-
> > From: lordpree...@gmail.com
> > Sent: Tue, 22 Sep 2015 01:19:38 +0530
> > To: r-help@r-project.org
> > Subject: [R] Running GCV Optimization under Ridge Regression
> >
> > Hi guys,
> >
> > I am running Ridge reg
01:19:38 +0530
> To: r-help@r-project.org
> Subject: [R] Running GCV Optimization under Ridge Regression
>
> Hi guys,
>
> I am running Ridge regression on a dataset (predicted variable = y; GDP,
> HPA and FX are regressors). I found that lm.ridge() can perform the ridge
> reg
Hi guys,
I am running Ridge regression on a dataset (predicted variable = y; GDP,
HPA and FX are regressors). I found that lm.ridge() can perform the ridge
regression given any value of lambda (i.e. the ridge parameter). However,
in order to choose the best results, I need to select the model
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