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I know nothing about least trimmed squares regression.
You will perhaps improve improve your chances of obtaining further advice by providing one or more literature references that describe the technique you want to implement. Apparently your needs are not met by either the scls or the robreg user-written commands that the search command I recommended tells us are available from SSC.
One of the commands yielded by the search that William suggested is robreg (at SSC). Why is the least trimmed squares option (lts) "not much help" to you?
Hi Steve, I was finally able to find the robreg and check it out. However as per my results below after running my regression, it provides me with no standard errors,t stats nor f stats.
what could be the reason pls?
LTS regression Number of obs = 1,880
Breakdown point = .5
Subsamples = 500
Scale estimate = .46910489
Don't know. The help even says "Computation of standard errors is not supported for LMS, LQS, and LTS." In Stata, your best alternatives look like mmregress or the mm option of robreg. R has a couple of implementations of LTS, but I've not tried them.
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