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08-13-2011 12:47 AM

Hi Everyone,

i am new in this forum and i hope finding my answer here.

i am working on missing data treatment; i used "proc mi" to do imputation of missing data.

i used this code:

proc mi data = time1 nimpute = 5 seed = 4321567 out=itime1;

run;

But i got these warning messages:

(**WARNING: All observed values are identical for variable surveyId. This variable will be excluded from**

** the analysis.**

**WARNING: A covariance matrix computed in the EM process is singular. The linearly dependent variables**

** for the observed data are excluded from the likelihood function. This may result in an**

** unexpected change in the likelihood between iterations prior to the final convergence.**

**WARNING: The EM algorithm (MLE) fails to converge after 200 iterations. You can increase the number**

** of iterations (MAXITER= option) or increase the value of the convergence criterion**

** (CONVERGE= option).**

**WARNING: The EM algorithm (posterior mode) fails to converge after 200 iterations. You can increase**

** the number of iterations (MAXITER= option) or increase the value of the convergence**

** criterion (CONVERGE= option).**

**WARNING: The EM algorithm (posterior mode) fails to converge after 200 iterations. You can increase**

** the number of iterations (MAXITER= option) or increase the value of the convergence**

** criterion (CONVERGE= option).**

**WARNING: The posterior covariance matrix is singular. Imputed values for some variables may be fixed.**)

I dont know where is the problem. so could anyone help me in that.

Thanks

Owis

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08-13-2011 12:02 PM

If you can post your time1 dataset it would help others to see why you got all of the warnings.