st: "skipping" missing data

["B. Timothy Walsh" <btw1@columbia.edu>]

I am attempting to generate predictions from regressions performed for each 
of a longish list of individuals. The problem is that, for some 
individuals, there are no dependent variable data (entries are missing), so 
the regression attempt fails. The problem is that the forvalues loop then 
exits. I would like to somehow "skip" these individuals. Loop seems to work 
fine if there are enough data to perform a regression. I'd be grateful for 
any suggestions.

Here's the code:
generate p1=.
forvalues i = 1/50 {		//50 individuals
	regress bperwk_ wk if ptnum == `i'
	predict p
	replace p1=p if ptnum == `i'
	drop p
}

I'm pretty much a Stata novice. So, I apologize if I am missing something 
obvious. Using version 10.1.

Many thanks!
Tim Walsh

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