Dear R-helpers,
I am trying to do a stepwise procedure in which I want to force some
variables in the model. I have searched around and it seems that only
leaps package allows to force the variable in the stepwise procedure. I
use the leaps package and use the regsubsets(lm1, force.in = 1, dat
message.
In one of the COEFTEST, the error message is:
Error in solve.default(crossprod(demX)) :
system is computationally singular: reciprocal condition number =
1.404e-017
What should I do to fix it and get the PCSEs?
Thanks a lot,
Hien Nguyen
On 12/18/09 22:24, Charles C. Berry wrote:
> On Fri, 18 Dec 2009, Hien Nguyen wrote:
>
>> Thanks a lot for answering my questions.
>>
>> I have tried to run the clogit for only 64 observations and 4
>> independent variables and the results are solved instantly. H
f 1, 4000
values of 2 and so on).
Does it sound right?
Thanks a lot
Hien
tlum...@u.washington.edu wrote:
On Fri, 18 Dec 2009, Hien Nguyen wrote:
Dear Drs Winsemius and Berry,
Thanks a lot for your comment and suggestions on running my model. I
am not just new to R but new to CLM a
9, at 5:49 PM, Hien Nguyen wrote:
Dear Dr. Winsemius,
Thank you very much for your reply.
I have tried many possible combinations (even with the model of only
2 predictors) but it produces the same message. With more than 4000
observations, I think 14 predictors might not be too many.
It is
not discrete (it ranges from 0
to 1), I do not think it will create problems to the estimation but I'm
not sure
I have checked the collinearity among predictors and they are all < 0.5
(which I think is OK). Do you know what else could make this errors?
Thanks a lot
Hien Nguye
t it says and what should I do to solve it.
Thanks a lot for your help
Hien Nguyen
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what it says and what should I do to solve it.
Thanks a lot for your help
Hien Nguyen
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