This works if and only if the command is r class.
(That is the definition of r class.) Regression-like
commands are e class, and the corresponding command is
. ereturn li
or
. eret li
Nick
[email protected]
[email protected]
> with the command return list you can see how call the results
> example
> sum rgdpl
>
> Variable | Obs Mean Std. Dev. Min Max
> -------------+--------------------------------------------------------
> rgdpl | 152 4626.693 2138.292 1692.86 11167.49
>
> return list
>
> scalars:
> r(N) = 152
> r(sum_w) = 152
> r(mean) = 4626.692887155633
> r(Var) = 4572291.459771345
> r(sd) = 2138.291715311862
> r(min) = 1692.859985351563
> r(max) = 11167.490234375
> r(sum) = 703257.3188476563
>
>
> > I am a relatively new user of Stata having used SAS for
> many years. I
> > know that when you run a regression in Stata it produces a
> whole series
> > of results that are stored under e( ) e.g. R squared, N,
> RSS etc. The
> > problem I am having is I can't figure out how to access those stored
> > results. I want to use the stored results to calculate an
> LM statistic.
> > I can do this manually using the results and the display command but
> > there must be a way of programing Stata to do this task.
> >
> > Here is what I want to do. I run a restricted regression
> and then obtain
> > the residuals. Next I regress the residuals on the independent
> > variables from the unrestricted model. N times the R
> square from this
> > equation is an LM statistic.
*
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