[U] User's Guide

236 [ U ] 18 Programming Statae(F) (scalar)Test of the model against the constant-only model, if relevant, and if results are nonasymptotic.e(ll) (scalar)Log-likelihood value, if relevant.e(ll 0) (scalar)Log-likelihood value for constant-only model, if relevant.e(N clust) (scalar)Number of clusters, if any.e(chi2) (scalar)Test of the model against the constant-only model, if relevant, and if results are asymptotic.e(rank) (scalar)Rank of e(V).e(cmd) (macro)Name of the estimation command.e(cmdline) (macro)Command as typed.e(depvar) (macro)Names of the dependent variables.e(wtype) and e(wexp) (macros)If weighted estimation was performed, e(wtype) contains the weight type (fweight, pweight,etc.) and e(wexp) contains the weighting expression.e(title) (macro)Title in estimation output.e(clustvar) (macro)Name of the cluster variable, if any.e(vcetype) (macro)Text to appear above standard errors in estimation output; typically Robust, Bootstrap, Jackknife,or "".e(vce) (macro)vcetype specified in vce().e(chi2type) (macro)LR or Wald or other depending on how e(chi2) was performed.e(crittype) (macro)Type of optimization criterion used, such as log likelihood or deviance.e(properties) (macro)Typically contains b V.e(predict) (macro)Name of the command that predict is to use; if this is blank, predict uses the defaultpredict.e(b) and e(V) (matrices)The coefficient vector and corresponding variance matrix. Saved when you coded ereturn post.