Crime dataset:
   crime_att age college income sex
1         23  16       2     63   1
2         25  18       2     72   1
3         22  18       2     75   1
4         16  18       2     61   0
5         19  19       2     65   1
6         19  19       2     70   1
7         18  20       2     78   1
8         16  19       2     76   0
9         12  18       2     53   0
10        13  19       2     56   0
11        16  19       2     59   1
12        13  20       2     55   0
13        13  21       2     60   0
14        14  20       2     52   0
15        14  24       3     54   0
16        13  25       3     55   0
17        16  25       3     55   0
18        16  27       4     56   1
19        14  28       4     52   1
20        20  38       4     59   0
21        25  29       4     63   1
22        19  30       4     55   1
23        23  31       4     59   0
24        25  32       4     52   1
25        22  32       4     55   1
26        25  31       4     57   0
27        17  30       4     46   1
28        14  29       4     35   0
29        12  29       4     32   0
30        10  28       4     30   0
31         8  27       4     29   0
32         7  26       4     28   0
33         5  25       4     25   0
34         9  24       3     33   0
35         7  23       3     26   0
36         9  23       3     28   1
37        10  22       3     38   0
38         4  22       3     24   0
39         6  22       3     28   0
40         8  21       3     29   1
41        11  21       2     35   1
42        10  20       2     33   0
43         6  19       2     27   0
44         7  21       3     24   0
45        15  21       2     53   1
Output from R leaps function: out$which and out$adjr2.
  age college income sex            
1   0       0      1   0  0.65673795
1   0       0      0   1  0.22821467
1   1       0      0   0  0.03705747
1   0       1      0   0 -0.02144597
2   1       0      1   0  0.78305762
2   0       1      1   0  0.77095819
2   0       0      1   1  0.68697908
2   1       0      0   1  0.28279619
2   0       1      0   1  0.21546530
2   1       1      0   0  0.18962300
3   1       0      1   1  0.81524050
3   0       1      1   1  0.79415560
3   1       1      1   0  0.77887877
3   1       1      0   1  0.42102006
4   1       1      1   1  0.81062334