Stata users,

I'am using the "sqreg" and "grqreg" commands to draw graphs after QR.
However, the following error occurs repeatedly:
set seed 10000
sqreg tr_u ab_p_st in_eq_st in_in_st be_res_st age male edu_ca2 edu_ca3 edu_ca4 edu_ca5 marital faminc_low faminc_high subcl_st conserv gentr_st rel2 rel3 rel4 rel5 rel6 rel7 rel8 rel9 rel10 rel11 rel12 rel13 rel14 rel15 rel16 rel17, q(.05 .10 .25 .50 .75 .90 .95) reps(1000)
grqreg ab_p_st in_eq_st in_in_st be_res_st, ci ols olsci level(90) seed(10000)
xtitle(Quantile) is not a twoway plot type
r(198);

There is no problem until sqreg analysis, but why do I get an error when I use the grqreg command?
I would appreciate any help regarding this issue.
Attach my data below.

Thanks.


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Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input float(tr_u ab_p_st in_eq_st in_in_st be_res_st) double(age male) byte(edu_ca2 edu_ca3 edu_ca4 edu_ca5) float(marital faminc_low faminc_high subcl_st conserv gentr_st)
 2.548827  1.3009508   -.352054  -.3077172   .7578214 52 0 1 0 0 0 1 0 0  .16746195 2  .57662654
1.4250708  -1.536831  -.9775802 -2.3680973  -3.012605 48 0 1 0 0 0 1 0 1   .9672785 3  .57662654
 3.069213   .7333945   .8989983  .46492535   .7578214 52 0 0 1 0 0 1 0 0  .16746195 2  .57662654
 2.954046   .8752832   .8989983 -1.3379072  -.4989874 43 0 0 1 0 0 1 0 0  -.6323546 3  .57662654
 2.583679  1.0171725   .8989983 -.05016968    .129417 22 0 0 0 1 0 0 0 0  -.6323546 2  .57662654
 3.115964  -.1179401   -.352054  .46492535    .129417 60 0 1 0 0 0 1 0 1  .16746195 1  .57662654
 2.987078  -.9692747 -1.6031063  -.8228122 -1.7557962 65 1 0 0 1 0 1 0 0 -2.2319877 1 -1.3963103
2.6706216  1.0171725   -.352054  -.5652647   .7578214 46 1 1 0 0 0 1 0 0  -1.432171 3  .57662654
2.1414716  -.5436072  -.9775802 -1.3379072 -1.7557962 37 1 1 0 0 0 0 0 0 -2.2319877 3 -1.3963103
 2.758129  -.8273855   .8989983  -.3077172    .129417 26 1 0 0 1 0 0 0 0  -.6323546 2  .57662654
 3.325483  -.8273855  .27347213  .20737784    .129417 52 1 1 0 0 0 1 0 0  .16746195 2 -1.3963103
 2.450008  1.0171725   .8989983  -.8228122   .7578214 41 1 0 0 1 0 1 0 0  .16746195 2  .57662654
 3.115998 -.25982928  -.9775802  -.8228122    .129417 26 1 0 0 1 0 0 0 0  -1.432171 2 -1.3963103
1.9066167  1.5847287  2.1500506 -1.5954547    2.01463 19 1 1 0 0 0 0 0 1   1.767095 2  2.5495634
  2.96684 -2.9557216   -.352054 -1.5954547  -.4989874 52 1 0 0 1 0 1 0 0  -.6323546 5 -1.3963103
 3.179792 -1.3949418  -.9775802  .46492535 -1.1273918 58 0 1 0 0 0 1 0 0   .9672785 4 -1.3963103
  3.77311   .4496162   .8989983 -.05016968   .7578214 25 1 0 0 1 0 0 0 0  .16746195 3  .57662654
2.6428666  1.3009508   .8989983  -.8228122 -1.1273918 25 1 0 0 1 0 0 0 0  -.6323546 2  .57662654
 2.762315   .4496162 -1.6031063 -1.8530023 -1.7557962 52 0 0 0 1 0 1 0 1  .16746195 2 -1.3963103
2.2200897 -1.2530526  -.9775802 -1.3379072 -1.1273918 43 0 0 1 0 0 1 0 0  .16746195 3 -1.3963103
 2.924837  1.1590617   .8989983  .46492535   .7578214 20 0 0 0 1 0 0 0 0  -1.432171 2  .57662654
 3.176029  -.6854964   -.352054   .7224728    .129417 41 0 0 0 0 0 1 0 0  -.6323546 2  .57662654
2.0095997  -.4017184  .27347213 -1.8530023 -1.1273918 53 1 0 0 1 0 1 0 0  .16746195 1  .57662654
 2.530223  -.6854964  .27347213   .9800203 -1.1273918 28 1 0 0 1 0 0 0 0  -.6323546 2 -1.3963103
 2.963072 -.25982928 -1.6031063 -1.0803597  -.4989874 28 0 0 0 1 0 0 0 0  .16746195 3 -1.3963103
2.0764253  .16583826   -.352054 -1.5954547 -1.1273918 57 1 1 0 0 0 0 0 1  -1.432171 4  .57662654
 2.868717  1.1590617  .27347213 -1.3379072   .7578214 67 1 1 0 0 0 1 0 0   .9672785 4  .57662654
 3.108452 -.25982928  .27347213  -.5652647    .129417 34 0 0 0 1 0 0 0 1  .16746195 2 -1.3963103
1.6415907  1.0171725  1.5245245 -1.5954547    2.01463 64 0 0 0 0 0 1 0 0   1.767095 3  .57662654
 2.503121 -.25982928  .27347213  -.3077172   .7578214 34 0 1 0 0 0 0 0 0  -.6323546 2  .57662654
 3.366095  .16583826   .8989983  -.3077172   .7578214 63 1 0 0 0 0 1 0 0   .9672785 2  .57662654
 3.017287  .16583826  1.5245245 -1.0803597  1.3862258 30 1 0 1 0 0 0 0 0   2.566912 3  .57662654
4.3971686  .16583826  1.5245245  -.8228122    .129417 52 1 0 1 0 0 1 0 0  -.6323546 4  .57662654
 3.167606  .59150535  .27347213  -.3077172  -.4989874 27 0 0 0 1 0 0 0 0   2.566912 2  .57662654
 3.933731   .4496162  1.5245245 -1.3379072    2.01463 72 0 0 0 0 0 1 0 0   1.767095 3  .57662654
  2.47139   .8752832  .27347213  -.5652647   .7578214 59 0 0 0 0 0 1 0 0  -.6323546 3  .57662654
2.8457446   .7333945  .27347213  -.5652647   .7578214 62 0 1 0 0 0 1 0 1   .9672785 2  .57662654
  3.07165  -.9692747   -.352054  .20737784   .7578214 47 0 0 0 1 0 1 0 0   .9672785 2  .57662654
3.0316534   .4496162   .8989983  -.8228122   .7578214 54 0 1 0 0 0 1 0 1   1.767095 1  .57662654
2.8288064  -.5436072  -.9775802 -.05016968  -.4989874 51 1 0 1 0 0 1 0 0  -.6323546 4 -1.3963103
  2.60805  2.0103962   .8989983  -.3077172  1.3862258 53 1 0 0 1 0 1 0 0   .9672785 1  .57662654
 3.217447  -.5436072   -.352054  -.8228122 -1.1273918 29 1 0 0 1 0 0 0 1  -1.432171 3 -1.3963103
2.8387766  .16583826 -1.6031063  -.5652647 -1.1273918 61 1 0 0 0 0 1 0 0  .16746195 5 -1.3963103
2.4718306 -1.6787198 -2.8541586   .9800203 -2.3842006 66 0 0 0 1 0 0 0 1  .16746195 2  -3.369247
 2.460867  -.1179401   .8989983 -.05016968  1.3862258 61 1 1 0 0 0 1 0 0   .9672785 3 -1.3963103
3.0623326  .59150535 -1.6031063  -.3077172    .129417 36 1 0 0 1 0 1 0 0   .9672785 3 -1.3963103
 2.825637  -.4017184  .27347213 -.05016968    .129417 29 1 0 0 1 0 1 0 1  -.6323546 2  .57662654
1.8854266  -1.536831 -2.2286325  1.4951154 -2.3842006 54 0 1 0 0 0 1 0 1   .9672785 2  -3.369247
 3.351184  .16583826  -.9775802  -.5652647 -1.7557962 44 0 0 0 1 0 1 0 0  -.6323546 3  .57662654
 3.299779  .59150535   .8989983  -.5652647   .7578214 28 0 0 0 1 0 0 0 1  -.6323546 2  .57662654
2.2308428  -2.530054   -.352054   .7224728 -1.7557962 45 0 0 0 1 0 1 0 0  .16746195 3  -3.369247
4.0657606   1.726618  .27347213   1.237568  1.3862258 28 1 0 1 0 0 0 0 0  -.6323546 2  .57662654
2.3333313  -.1179401  .27347213  .20737784 -1.1273918 62 0 1 0 0 0 1 0 1  .16746195 3  .57662654
2.2409818  -.1179401   .8989983  .20737784 -1.1273918 48 0 0 0 1 0 1 0 1  -.6323546 2 -1.3963103
2.9809926  .59150535  .27347213   .7224728 -1.1273918 52 0 0 0 0 1 1 0 1  .16746195 3 -1.3963103
 2.074997 -2.1043873   -.352054 -1.3379072  -.4989874 34 0 0 0 1 0 1 0 0  -1.432171 3 -1.3963103
3.4962304  1.3009508  .27347213  -.5652647   .7578214 35 0 0 0 1 0 1 0 0  -.6323546 2  .57662654
 4.066377  1.0171725  .27347213 -1.3379072  1.3862258 41 1 0 0 1 0 1 0 0   .9672785 2  .57662654
  2.48328  -.4017184   -.352054 -1.0803597  -.4989874 28 0 0 1 0 0 0 0 0  -1.432171 2  .57662654
 2.777985  -.8273855   -.352054  .20737784 -1.7557962 25 1 0 0 1 0 0 0 1 -2.2319877 3 -1.3963103
 3.425864   .7333945  1.5245245 -1.0803597  1.3862258 19 1 1 0 0 0 0 0 0   .9672785 2  .57662654
 2.980552 -.25982928   .8989983 -.05016968  -.4989874 58 0 1 0 0 0 1 0 0  -1.432171 3  .57662654
4.2308903  1.0171725   .8989983  -.8228122  1.3862258 51 1 1 0 0 0 1 0 0   .9672785 2  .57662654
 3.553029   .8752832   .8989983 -1.0803597   .7578214 62 0 0 0 0 0 1 0 0   .9672785 3  .57662654
2.2668145   .7333945   .8989983 -1.0803597  1.3862258 64 1 0 0 0 0 1 0 0   .9672785 2  .57662654
 2.511754  -.1179401   .8989983  -.3077172  -.4989874 63 1 0 0 1 0 1 0 0  -.6323546 2  .57662654
 2.243856 -1.1111635 -1.6031063   .7224728 -1.1273918 28 1 0 0 1 0 1 0 0  -1.432171 2 -1.3963103
 3.824316  1.0171725  1.5245245 -1.0803597  1.3862258 26 1 0 1 0 0 0 0 0   .9672785 2  .57662654
3.1466544  2.1522849   -.352054  -.3077172  -.4989874 65 0 1 0 0 0 0 0 1  .16746195 2  .57662654
 3.332015 -1.2530526 -2.2286325   .9800203    .129417 55 1 0 0 1 0 1 1 0 -2.2319877 3 -1.3963103
 3.192106  -1.536831   .8989983  -.5652647  -.4989874 50 0 0 0 1 0 1 0 0   1.767095 3  .57662654
 3.088795  1.1590617   .8989983  -.5652647   .7578214 26 1 0 0 1 0 0 0 0   .9672785 2  .57662654
 2.919647  .16583826   -.352054 -.05016968  -.4989874 22 1 0 0 1 0 0 0 0  .16746195 2 -1.3963103
2.5876446  .16583826   -.352054  .20737784    .129417 63 1 0 0 1 0 1 0 0   .9672785 4 -1.3963103
  2.02323   .4496162   .8989983 -1.0803597  -.4989874 53 0 1 0 0 0 1 0 0  -1.432171 2 -1.3963103
 2.831422 -2.6719434 -1.6031063 -1.3379072 -1.1273918 29 1 0 0 0 1 0 0 1   .9672785 3 -1.3963103
 3.566973 -.25982928   -.352054  -.8228122  -.4989874 60 0 0 1 0 0 1 0 0  .16746195 4  .57662654
 2.339064  -.1179401  .27347213  .20737784   .7578214 41 0 0 0 1 0 1 0 0  -.6323546 3  .57662654
 2.583604 -1.3949418  -.9775802 -.05016968    .129417 55 1 0 0 1 0 0 0 1  -.6323546 3 -1.3963103
 2.459353 -.25982928  .27347213   .9800203    .129417 26 0 0 0 1 0 0 0 1  .16746195 2  .57662654
2.3267732 -.25982928  .27347213  -.5652647   .7578214 32 1 1 0 0 0 0 0 0  -.6323546 3 -1.3963103
 2.550516  -.1179401   -.352054  .20737784    .129417 62 0 1 0 0 0 1 0 0  .16746195 4 -1.3963103
 3.130393  -.1179401  -.9775802  -.3077172  -.4989874 38 0 0 0 1 0 1 0 0   2.566912 2  .57662654
 1.999648  -3.523278  -3.479685  .20737784  1.3862258 70 0 0 0 0 0 0 0 0  -1.432171 5  -3.369247
4.1954784  2.0103962   .8989983  2.0102105   .7578214 44 0 0 0 1 0 1 0 0   1.767095 3  .57662654
 3.354841  -.4017184  1.5245245  -.3077172 -1.1273918 59 0 1 0 0 0 1 0 0   .9672785 2 -1.3963103
2.7889376   .4496162  .27347213 -.05016968  -.4989874 59 1 1 0 0 0 1 0 0  -.6323546 2  .57662654
2.9387586 -.25982928   -.352054  -.5652647 -1.1273918 56 1 0 0 1 0 1 0 0  .16746195 3 -1.3963103
 2.804008 .023949083   -.352054  -.3077172  -.4989874 47 1 1 0 0 0 1 0 1  -1.432171 2  .57662654
  2.00925  -1.962498   -.352054 -1.3379072  -.4989874 51 1 0 0 1 0 1 0 0  .16746195 4  .57662654
3.8004775  1.4428395   .8989983 -1.0803597   .7578214 64 1 1 0 0 0 1 0 0  .16746195 3  .57662654
 3.148788    .307727  .27347213 -.05016968    .129417 48 1 0 1 0 0 1 0 1   .9672785 2  .57662654
 2.556286  -.5436072 -2.8541586 -.05016968 -2.3842006 42 0 1 0 0 0 1 0 0  .16746195 3 -1.3963103
 2.838123  .59150535  1.5245245 -.05016968 -1.1273918 24 0 0 0 1 0 0 0 0   .9672785 1  .57662654
 3.715712    .307727  -.9775802  -.3077172    .129417 45 0 1 0 0 0 1 0 0  -1.432171 3  .57662654
3.3149965 -.25982928  -.9775802  -.3077172 -1.7557962 25 0 0 0 1 0 0 0 0  -.6323546 3 -1.3963103
2.8091815  -.9692747   -.352054  .46492535 -1.1273918 60 0 1 0 0 0 1 0 0  .16746195 2 -1.3963103
3.9039526  -.4017184 -1.6031063   .7224728 -1.1273918 24 1 0 0 1 0 0 0 0  .16746195 2  .57662654
3.2552176  -.9692747   -.352054  .46492535   .7578214 54 0 0 0 1 0 1 0 1  -.6323546 2  .57662654
 3.273569  2.2941747   .8989983   1.752663   .7578214 28 0 0 1 0 0 0 0 0  .16746195 2  .57662654
end
label values male male
label def male 0 "여성", modify
label def male 1 "남성", modify
------------------ copy up to and including the previous line ------------------

Listed 100 out of 6997 observations
Use the count() option to list more