| Date: | Sat, 30 Apr 2005 09:52:33 -0700 |
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| Reply-To: | shiling99@YAHOO.COM |
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| Sender: | "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU> |
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| From: | shiling99@YAHOO.COM |
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| Organization: | http://groups.google.com |
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| Subject: | Re: caluating predicted value(outsample) |
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| In-Reply-To: | <1114877668.783545.131300@l41g2000cwc.googlegroups.com> |
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| Content-Type: | text/plain; charset="iso-8859-1" |
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You may append you forecast x's values into the data set. The program
will spit out a fitted/project value for any given x value when y is
missing. Take a look the following example.
Another way is to save all parms into a table then calculate all
forecasts in a data step. I believe you can save parms via ODS.
HTH
data t1;
do i = 1 to 30;
x=rannor(123);
y=2+3*x+rannor(123);
if i>=25 then y=.;
output;
end;
run;
proc glm data=t1;
model y=x;
output out=t2 p=py r=err;
quit;
proc print; run;
luckyalis wrote:
> Thank you so much! but I need to calculate the predicted value using
> outsample.
> That is the obs. not in the original sample which come up the
estimated
> model.
> Can you help me and tell where I can find the documents?
>
> Thank you so much!!!! Much appreciated!
>
> puzzelalis
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