The program seems to take forever. If you interrupt it, then the reported Error message might appear. This was produced because the execution was in the middle and some matrices have not been cleared. If you terminate the program like this, then the error is kind of “normal” and there is nothing to do about it.
I let it run over days and nights, and got the following messages in the Log --
NOTE: Saturated mean structures in models are analyzed with the FIML method.
NOTE: Sample statistics such as correlation matrix or mean vector are based on the complete
observations only.
ERROR: QUANEW Optimization cannot be completed.
NOTE: QUANEW needs more than 100 iterations or 1000 function calls.
NOTE: The FIML estimation of the saturated model converged (function value = 818.4849, df = 0).
NOTE: The FIML estimation of the baseline model converged (function value = 893.9941, df =
5995).
NOTE: Due to optimization failure, statistics in the Fit Summary table might not be
appropriate.
NOTE: Due to optimization failure, fit statistics in path diagrams might not be appropriate.
NOTE: Due to optimization failure, standard error estimates are not computed.
NOTE: Because standard error estimates are not available, flagging for significant estimates
is not done in path diagrams.
NOTE: PROCEDURE CALIS used (Total process time):
real time 65:55:43.65
cpu time 65:53:28.92
The program did not converge, unfortunately.
You might increase the maxiter= value and maxfunc value. For example, add maxiter=1000 maxfunc=5000 options in the PROC CALIS statement. But by increasing the number of iterations, you might or might not be able to find a converged solution. For a model this large, there is really no guarantee for this. You might want to try other optimization techniques or estimation methods, for example, method=ML, or other method= option as described in the documentation --
https://go.documentation.sas.com/doc/en/pgmsascdc/v_049/statug/statug_calis_syntax13.htm#statug.calis.calismethod
Hope this helps,
Jill
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