Hi everyone, I am running a monte carlo and am getting an error that I
haven't the slightest clue where to begin figuring it out. The error
is as follows:
Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) :
0 (non-NA) cases
In addition: Warning message:
In ltm.fit(X, betas, constraint, formula, con) :
Hessian matrix at convergence is not positive definite; unstable
solution.
The puzzling aspect though is that it successfully runs a number of
complete iterations before this occurs. I am not sure what or where
this is going on.
Any suggestions?
Thanks very much (in advance)
- Brendan
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