OE reconstitution badness

I mentioned that the distance between the quasi-wedgie, reconsituted
from the OE part of the wedgie using least squares, and the actual
wedgie is a badness measure of sorts. Here are the top 25 of my old
114 7-limit temperaments, sorted according to the rms average value of
this difference. Some tendency to favor higher complexity may be
noted, but also curiosities such as orwell ranking higher than
miracle. In any event, it shows why serious problems won't arise doing
this, because the problems can only occur for crappy temperaments. Of
course for a better badness measure complexity should be worked in.

1 <<18 27 18 1 -22 -34|| .002883
2 <<16 2 5 -34 -37 6|| .012117
3 <<2 25 13 35 15 -40|| .012874
4 <<6 5 -31 -6 -66 -86|| .016379
5 <<7 -3 8 -21 -7 27|| .017056
6 <<12 34 20 26 -2 -49|| .017397
7 <<6 -7 -2 -25 -20 15|| .017774
8 <<9 5 -3 -13 -30 -21|| .020042
9 <<15 -2 -5 -38 -50 -6|| .020507
10 <<5 13 -17 9 -41 -76|| .021457
11 <<23 -1 13 -55 -44 33|| .021766
12 <<13 -10 6 -46 -27 42|| .021834
13 <<13 14 35 -8 19 42|| .024217
14 <<3 -12 -30 -26 -56 -36|| .025721
15 <<11 -11 22 -43 4 82|| .026259
16 <<1 4 10 4 13 12|| .027146
17 <<1 -8 -14 -15 -25 -10|| .027878
18 <<7 -15 -16 -40 -45 5|| .029104
19 <<10 9 7 -9 -17 -9|| .029831
20 <<3 17 -1 20 -10 -50|| .030076
21 <<6 5 22 -6 18 37|| .030311
22 <<8 18 11 10 -5 -25|| .030502
23 <<1 33 27 50 40 -30|| .031325
24 <<3 12 -1 12 -10 -36|| .031853
25 <<3 -24 -1 -45 -10 65|| .031903