Coefplot graph error despite running the regression

I'm supposed to get a coefplot graph using the following data and code but unfortunately I'm coming across this error. Why lths variable is not being allowed , I'm simply not getting it.

Code:

option lths not allowed
r(198);

The code is like the following

Code:

eststo clear
reghdfe ln_incwage black  ///
hks mks lks ///
age ismarried /// 
somecollege hsdegree  /// 
lths  [aw=asecwt] , absorb(i.county) vce(cluster county) 
eststo e1 

coefplot (e1 , mcolor(red%50) msymbol(O) msize(large) ciopts(recast(rcap)) color(red%50)) keep(black)) ///
(e1 , mcolor(green%50) msymbol(S) msize(large) keep(hks mks lks) ciopts(recast(rcap)) color(green%50)))  ///
(e1 , mcolor(purple%50) msymbol(T) msize(large) keep(age ismarried)  ciopts(recast(rcap)) color(purple%50))) ///
(auto_dube , mcolor(blue%50) msymbol(D) msize(large) keep(lths)  ciopts(recast(rcap)) color(blue%50))) , ///
scheme(plotplain) xtitle("Coefplot",size(large)) /// 
xline(0, lcolor(gs7) lpat(solid)) legend(off) grid(none) ///
yline(-1 -2 -3, lcolor(gs7%40) lpat(dot)) ///
groups(black ="{bf:Local}") ///
hks mks lks ="{bf:Spectrum}") ///
age ismarried  = "{bf:Industry}") /// 
lths = "{bf:Rec}") ///
graph export "coefplot.png"

Code:

* Example generated by -dataex-. For more info, type help dataex
clear
input float ln_incwage byte black float(hks mks lks) byte(age ismarried somecollege hsdegree lths) double(asecwt county)
10.414393 0 1 0 0 54 0 0 0 0 1434.86 36055
 10.46846 0 0 1 0 38 1 0 1 0  606.54     0
 9.538924 0 0 1 0 37 0 0 0 1 1000.35     0
11.436045 0 1 0 0 55 1 0 0 0  463.44     0
        . 0 0 0 0 46 1 0 0 1 1215.63  6037
10.008928 0 0 1 0 30 1 1 0 0 2010.14     0
10.037678 0 0 1 0 44 1 0 1 0  459.67     0
 12.08503 0 0 0 1 37 1 0 0 0 1296.95 34039
 5.914584 0 0 0 1 18 0 0 0 1 1544.17 42091
10.232072 0 0 0 1 18 1 1 0 0 1599.78  4013
 9.775313 1 0 0 1 26 1 0 1 0 1329.36 42011
10.033458 0 0 0 1 35 1 1 0 0 1222.95     0
        . 0 0 0 0 63 0 0 1 0   910.7     0
 9.469932 1 0 1 0 42 0 0 1 0 1269.54     0
 9.826607 0 0 0 1 36 1 0 0 1  1672.3     0
        . 0 0 0 0 18 0 0 0 1 1224.82 34023
        . 0 0 0 0 60 0 0 0 1  547.61     0
8.9103155 0 0 0 1 62 1 0 1 0 1492.59     0
10.519753 0 0 0 1 47 0 0 0 1 1284.65  6037
 11.30821 0 1 0 0 39 1 1 0 0 1230.16 34029
        . 0 0 0 0 49 1 0 1 0 1377.73 12011
 8.555781 0 0 1 0 46 1 0 0 0 1059.27     0
10.519753 0 0 0 1 31 0 1 0 0 1243.65 12025
10.163078 0 0 0 1 47 1 0 1 0  125.48     0
        . 0 0 0 0 36 1 0 1 0   445.1     0
11.455847 0 1 0 0 36 1 0 0 0  606.54  8059
10.491868 0 1 0 0 38 0 0 0 0 1482.28 36047
        . 0 0 0 0 30 0 1 0 0   557.1     0
 9.826607 0 0 1 0 42 1 0 1 0   928.9     0
        . 0 0 0 0 18 0 1 0 0 1261.18 12011
10.659515 0 0 1 0 38 1 0 1 0  744.99     0
9.3958235 0 0 1 0 27 1 1 0 0  369.12     0
 10.04975 0 0 0 1 38 1 0 1 0 1397.47     0
10.008928 0 0 1 0 40 1 0 0 1 1841.38     0
11.772516 0 0 0 1 39 1 1 0 0 1207.02 12025
        . 0 0 0 0 27 1 1 0 0  994.94     0
10.568543 0 0 1 0 35 1 1 0 0  801.43  8031
10.592074 0 1 0 0 28 1 0 0 0 1149.52     0
        . 0 0 0 0 25 0 1 0 0 2619.46  6085
10.568543 0 0 1 0 44 1 0 1 0  1546.2 12011
        . 0 0 0 0 48 1 0 0 0 1737.04 34003
 9.826607 0 0 1 0 26 1 0 0 0 1421.61     0
        . 0 0 0 1 53 1 1 0 0  446.02     0
 8.776784 0 1 0 0 18 0 0 1 0 1067.93     0
        . 0 1 0 0 44 1 0 0 0 1204.65  6037
        . 0 0 0 0 50 1 0 1 0  724.72     0
10.386222 0 0 1 0 23 0 0 1 0  352.97     0
        . 0 0 0 0 18 0 0 0 1 1059.78     0
 9.603463 0 0 0 1 18 0 0 0 1 1421.59     0
11.035567 0 0 1 0 31 0 0 0 1 2132.08  6079
 9.415627 0 0 0 1 40 1 0 1 0 1191.55 27137
 9.469932 0 0 0 1 50 1 0 1 0  960.59     0
 6.830874 1 0 1 0 22 0 0 1 0  1716.9     0
end