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