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Re: st: RE: Qn about Command prvalue


From   Rajaram Subramanian Potty <rajara999@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: Qn about Command prvalue
Date   Fri, 30 Oct 2009 09:54:03 +0530

I removed the ado files from the C drive and installed spost9 one more
time and it is working fine now.

thanks for the reply.

RAJA

On Thu, Oct 29, 2009 at 5:44 PM, Martin Weiss <martin.weiss1@gmx.de> wrote:
>
> <>
>
>
>
> Is the directory where the files for -spost9- reside part of the paths that
> you get when you type -adopath- in your Stata? That is where Stata looks for
> them...
>
>
>
> HTH
> Martin
>
>
> -----Ursprüngliche Nachricht-----
> Von: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Rajaram
> Subramanian Potty
> Gesendet: Donnerstag, 29. Oktober 2009 13:04
> An: statalist@hsphsun2.harvard.edu
> Betreff: Re: st: RE: Qn about Command prvalue
>
> I tried it is not working. Probable reason is that my stata is
> installed in D drive and when I install the package from the net it
> installs in the C drive and not in the D drive. Now, I do not know how
> to solve the problem.
>
> Thanks and regards,
>
> RAJARAM. S
>
>
>
> On Thu, Oct 29, 2009 at 3:53 PM, Nick Cox <n.j.cox@durham.ac.uk> wrote:
>> That is entirely consistent with what I said.
>>
>> Nick
>> n.j.cox@durham.ac.uk
>>
>> Rajaram Subramanian Potty
>>
>> But when I am typing help prvalue I am getting the help for this
>> command. Any way I will install the related ado files from the web and
>> check.
>>
>> On Thu, Oct 29, 2009 at 3:41 PM, Nick Cox <n.j.cox@durham.ac.uk> wrote:
>>
>>> Looks simple: you didn't install these extra commands, or you put them
>>> where Stata can't see them. You need to go back to source.
>>>
>>> Nick
>>> n.j.cox@durham.ac.uk
>>>
>>> Rajaram Subramanian Potty
>>>
>>> I am having trouble in getting predicted values after fitting the
>>> regression equation and multinomil logistic regression. After fiitting
>>> the model, I am getting the following error for regression and
>>> multinomial regression respectively.
>>>
>>> I used one dependent vairable and two independent variables in the
>>> equation.
>>>
>>> . prvalue, x(icvi=1) rest(mean) (after regression fit)
>>> unrecognized command:  _pebase
>>>
>>> . prvalue, x(icvi=1) rest(mean) (after fitting Multinomial regression)
>>> unrecognized command:  _pecats
>>>
>>
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