How to use stata svy etregress postestimation assumption check

Question

When using survey data and etregress with an endogenous treatment effect in Stata number of diagnostics and post estimate parts stop being available for the use.

svy: etregress logwage i.race gender, treat(training = i.education gender) 

--------------------------------------------------------------------------------------------------
                                 |             Linearized
                                 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
logwage                          |
                            race |
                African American |   .3891554   .0031105    12.20   0.000     .2000000    .8474752
                 Asian American  |   .1487310   .0002843    04.11   0.000     .027113     .8765290
                                 |
                          gender |
                         female  |  -.0230411    .010445    -6.85   0.000    -.115341   -.0107295
                                 |


                      1.training |   .3703371   .0451778    10.61   0.000     .2018037    .4186134
  

  ---------------------------------+----------------------------------------------------------------
    training                         |
                         i.education |
                         Highschool  |  -.0715731   .0490565     1.28   0.098    -.1106579    .1291781
                            College  |   .1271380   .0401052     3.95   0.003     .0329516    .2107563
                        Grad School  |   .8522143   .0085337     8.99   0.000     .8271381    .9573284
                                     |
                              gender |
                             female  |   .0127444   .0100058     5.33   0.041     .0100558    .0866312
                               _cons |  -1.260083   .0327235   -26.12   0.000    -1.531405   -1.098524
    ---------------------------------+----------------------------------------------------------------


                             /athrho |   .0051552    .031410     0.17   0.827    -.0722533    .0810246
                            /lnsigma |  -1.872551   .0166818   -73.50   0.000    -1.928624   -1.278064
    ---------------------------------+----------------------------------------------------------------
                                 rho |   .0084120   .0421116                     -.0649947    .0888529
                               sigma |   .4000831   .0038170                      .1925127    .5067780
                              lambda |   .0012673   .0226365                     -.0324029 

When I have this model simple assumptions related to a linear model like: Check linearity or assumption of independence and the homoscedasticity, normality, or goodness of fit diagnostics do not give output.

A residuals versus predicted values plot could have been a rvfplot but this gives the error:

last estimates not found

Trying estat gofgives

invalid subcommand gof

and the same for the estat hettest

help etregress postestimation

does not discuss model assumption tests or goodness of fit tests which we normally see with regress or log-linear model in Stata.

When I try the predict residual or predict rstudent nothing is reported making plotting not possible again.

I can provide reproducible example of the problem with the reference given by others:

webuse nhanes2f, clear
qui svyset psuid [pweight=finalwgt], strata(stratid)
qui svy: etregress loglead i.female i.diabetes, treat(diabetes = weight age height i.female) // coefl
nlcom pct_eff:(100*(exp(_b[loglead:1.female])-1))

Here also the etregress is used with a log transformed dependent variable and a treatment component. Following this model like asked above, how do we check the assumptions and goodness of fit?