Hi everyone.
I am trying to compare the AUCs of two tests, y1 and y2. The outcome variable (true diagnosis) is d. Here is the data.
Code:
* Example generated by -dataex-. For more info, type help dataex
clear
input int id byte d float(y1 y2)
  1 1 97.38156  97.77513
  2 0 94.54882  96.23346
  3 1 95.96194  96.88808
  4 1 97.37487   98.6192
  5 1 96.90598  98.96457
  6 1 97.74158  99.81046
  7 0 94.44688   96.3835
  8 1 96.91759  100.8302
  9 0   98.467  96.79236
 10 1  97.2261  99.45723
 11 1 99.53806 100.39708
 12 1 98.74596  98.60378
 13 1 96.04809   99.2196
 14 1 98.51422  99.31129
 15 1 97.31383  99.73836
 16 0 94.75156  96.97417
 17 0 94.19542  96.18056
 18 0 95.30164  96.71478
 19 1 95.78667 100.39079
 20 0 97.41148  95.08833
 21 1 95.67726  100.2699
 22 0 97.12939  97.31715
 23 1  97.3907  99.41492
 24 0 95.52853   97.0461
 25 1 96.75761  100.5035
 26 0 97.53485  94.27595
 27 0 95.81331  96.68634
 28 0 96.65748   97.2637
 29 1 97.63087  95.29101
 30 0 96.06285  96.19601
 31 0 94.70712  98.38924
 32 0 95.18496  97.19393
 33 1 98.05997  99.90926
 34 0 95.84086  95.10242
 35 0 96.52688  94.40955
 36 0 96.66033  96.91363
 37 1 98.81554  93.85376
 38 0 96.29855  98.48356
 39 1 96.61803  96.31312
 40 0 95.86975  97.12144
 41 0 94.13004  95.98446
 42 1 98.06756  100.0735
 43 0 96.71018  96.03593
 44 1  99.6264   98.5117
 45 1 97.72781  95.48792
 46 0  95.1233  96.65819
 47 0 94.98343  96.83074
 48 0 98.22735  97.79552
 49 1 97.98679 100.16672
 50 1 96.93982  97.46316
 51 1 97.67142  99.97642
 52 1 98.35726  99.37061
 53 0 97.21593  98.75429
 54 1 96.12872  96.21509
 55 0 93.90992  96.28863
 56 1 98.66654   95.8676
 57 0 95.51481  96.32138
 58 0 94.91967   97.3297
 59 1 95.38461  97.11926
 60 0 96.89056  98.73277
 61 1 98.89187  97.73084
 62 1 95.07276  96.39565
 63 1 99.12607  95.99722
 64 1 98.36385   98.8508
 65 0 95.37592  97.13871
 66 1 97.55559 102.80803
 67 1  97.7218  97.59555
 68 0 97.19405  95.34322
 69 1 98.51645   99.4153
 70 1 97.09347  96.32613
 71 0 95.92873  97.27116
 72 1 97.90533  96.61362
 73 1  96.1864  98.67364
 74 0 94.40533  96.75537
 75 0 96.17095   96.4313
 76 0 97.84145 100.12045
 77 0  95.6085  97.15792
 78 1  98.7226  98.37483
 79 1 98.30137 100.99195
 80 0 96.33913  96.68325
 81 0  97.2898  96.74976
 82 0 96.95675  98.62692
 83 1 95.87126  97.53024
 84 0 94.96371  98.83896
 85 0 96.48267  95.86141
 86 1 97.00181  98.60984
 87 0 94.53855  97.66732
 88 0 96.80022  98.43723
 89 0 96.18893  97.01451
 90 1 98.26919  101.9634
 91 1 97.15147 100.51557
 92 0 94.70248  96.46716
 93 1 97.59052  99.70178
 94 1 98.61035   96.0057
 95 1 97.50181  98.77481
 96 1  97.8288  100.3194
 97 0 95.44022  95.43479
 98 0 95.16041  97.44152
 99 0  96.6447  95.25821
100 1 97.05354  99.16766
end
label values d pn
label def pn 0 "No", modify
label def pn 1 "Yes", modify


When I run
Code:
roccomp d y1 y2, summary graph binormal
it displays the following error message
__00000E takes on more than 800 unique values
unable to fit model; use roctab command
r(134);

What is happening here?
What is the possible solution to this error?