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从h qreg的帮助文件里可以看到，qreg的结果里没有R方，所以不能导出
Stored results
qreg stores the following in e():
Scalars
e(N) number of observations
e(df_m) model degrees of freedom
e(df_r) residual degrees of freedom
e(q) quantile requested
e(q_v) value of the quantile
e(sum_adev) sum of absolute deviations
e(sum_rdev) sum of raw deviations
e(sum_w) sum of weights
e(f_r) density estimate
e(sparsity) sparsity estimate
e(bwidth) bandwidth
e(kbwidth) kernel bandwidth
e(rank) rank of e(V)
e(convcode) 0 if converged; otherwise, return code for why nonconvergence
Macros
e(cmd) qreg
e(cmdline) command as typed
e(depvar) name of dependent variable
e(bwmethod) bandwidth method; hsheather, bofinger, or chamberlain
e(denmethod) density estimation method; fitted, residual, or kernel
e(kernel) kernel function
e(wtype) weight type
e(wexp) weight expression
e(vce) vcetype specified in vce()
e(vcetype) title used to label Std. Err.
e(properties) b V
e(predict) program used to implement predict
e(marginsnotok) predictions disallowed by margins
e(asbalanced) factor variables fvset as asbalanced
e(asobserved) factor variables fvset as asobserved
Matrices
e(b) coefficient vector
e(V) variance-covariance matrix of the estimators
Functions
e(sample) marks estimation sample
iqreg stores the following in e():
Scalars
e(N) number of observations
e(df_r) residual degrees of freedom
e(q0) lower quantile requested
e(q1) upper quantile requested
e(reps) number of replications
e(sumrdev0) lower quantile sum of raw deviations
e(sumrdev1) upper quantile sum of raw deviations
e(sumadev0) lower quantile sum of absolute deviations
e(sumadev1) upper quantile sum of absolute deviations
e(rank) rank of e(V)
e(convcode) 0 if converged; otherwise, return code for why nonconvergence
Macros
e(cmd) iqreg
e(cmdline) command as typed
e(depvar) name of dependent variable
e(vcetype) title used to label Std. Err.
e(properties) b V
e(predict) program used to implement predict
e(marginsnotok) predictions disallowed by margins
e(asbalanced) factor variables fvset as asbalanced
e(asobserved) factor variables fvset as asobserved
Matrices
e(b) coefficient vector
e(V) variance-covariance matrix of the estimators
Functions
e(sample) marks estimation sample
sqreg stores the following in e():
Scalars
e(N) number of observations
e(df_r) residual degrees of freedom
e(n_q) number of quantiles requested
e(q#) the quantiles requested
e(reps) number of replications
e(sumrdv#) sum of raw deviations for q#
e(sumadv#) sum of absolute deviations for q#
e(rank) rank of e(V)
e(convcode) 0 if converged; otherwise, return code for why nonconvergence
Macros
e(cmd) sqreg
e(cmdline) command as typed
e(depvar) name of dependent variable
e(eqnames) names of equations
e(vcetype) title used to label Std. Err.
e(properties) b V
e(predict) program used to implement predict
e(marginsnotok) predictions disallowed by margins
e(asbalanced) factor variables fvset as asbalanced
e(asobserved) factor variables fvset as asobserved
Matrices
e(b) coefficient vector
e(V) variance-covariance matrix of the estimators
Functions
e(sample) marks estimation sample
bsqreg stores the following in e():
Scalars
e(N) number of observations
e(df_r) residual degrees of freedom
e(q) quantile requested
e(q_v) value of the quantile
e(reps) number of replications
e(sum_adev) sum of absolute deviations
e(sum_rdev) sum of raw deviations
e(rank) rank of e(V)
e(convcode) 0 if converged; otherwise, return code for why nonconvergence
Macros
e(cmd) bsqreg
e(cmdline) command as typed
e(depvar) name of dependent variable
e(properties) b V
e(predict) program used to implement predict
e(marginsnotok) predictions disallowed by margins
e(asbalanced) factor variables fvset as asbalanced
e(asobserved) factor variables fvset as asobserved
Matrices
e(b) coefficient vector
e(V) variance-covariance matrix of the estimators
Functions
e(sample) marks estimation sample
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