statistic Description
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Main xb linear prediction; the default
residuals residuals
score score; equivalent to residuals
rstandard standardized residuals
rstudent Studentized (jackknifed) residuals
cooksd Cook's distance
leverage | hat leverage (diagonal elements of hat matrix)
pr(a,b) Pr(y | a < y < b)
e(a,b) E(y | a < y < b)
ystar(a,b) E(y*), y* = max(a,min(y,b))
* dfbeta(varname) DFBETA for varname
stdp standard error of the linear prediction
stdf standard error of the forecast
stdr standard error of the residual
* covratio COVRATIO
* dfits DFITS
* welsch Welsch distance ----------------------------------------------------------------------------------------------
Unstarred statistics are available both in and out of sample; type predict ... if e(sample) ... if wanted only for the estimation sample. Starred statistics are calculated only for the estimation sample, even when if e(sample) is not specified.
rstandard, rstudent, cooksd, leverage, dfbeta(), stdf, stdr, covratio, dfits, and welsch are not available if any vce() other than vce(ols) was specified with regress.
xb, residuals, score, and stdp are the only options allowed with svy estimation results.
where a and b may be numbers or variables; a missing (a > .) means minus infinity, and b missing (b > .) means plus infinity; see missing.
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