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Re: st: Dropping variables in regression equations based on R-Squared value
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: Dropping variables in regression equations based on R-Squared value
Date
Sat, 20 Jul 2013 08:12:12 +0100
local droplist
foreach x of varlist var1-var5000{
quietly reg `x' var5001
display "`x'" `e(r2)'
scalar a = e(r2)
quietly reg `x' var5002
display "`x'" `e(r2)'
scalar b = e(r2)
if max(a, b) > 0.95 local droplist `droplist' `x'
}
drop `droplist'
Nick
[email protected]
On 20 July 2013 07:45, George Murray <[email protected]> wrote:
> abcde
> Dear Statalist,
>
> I am running numerous regressions in the following form:
>
> foreach x of varlist var1-var5000{
> quietly reg `x' var5001
> display "`x'" `e(r2)'
> quietly reg `x' var5002
> display "`x'" `e(r2)'
> }
>
> Where e(r2) displays the R-Squared of each regression.
>
> If *either* of the above regression equations have an R-Squared
> greater than 0.95, I want to drop the variable `x' . For example, if I
> regress var500 on var1001, and then on var1002, and *either* of the
> regressions have an R-Squared value over 0.95, I wish to delete
> var500.
>
> Does anyone have a way of doing this? I’m doing this manually at the
> moment, but is taking far too much time, and of course, it would be
> better if I could find a way to do this with the code.
>
> Thank you.
>
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