data Drugs;
input Set Brand $ 4-12 Count Price;
datalines;
1 0 .
1 Brand 1 103 50
1 Brand 2 58 75
1 Brand 3 318 50
1 Brand 4 99 75
1 Brand 5 54 100
1 Brand 6 83 100
1 Brand 7 71 100
1 Brand 8 58 100
1 Brand 9 100 50
1 Brand 10 56 100
2 10 .
2 Brand 1 73 100
2 Brand 2 76 50
2 Brand 3 342 100
2 Brand 4 55 75
2 Brand 5 50 75
2 Brand 6 77 75
2 Brand 7 95 100
2 Brand 8 71 50
2 Brand 9 72 100
2 Brand 10 79 75
3 10 .
3 Brand 1 65 50
3 Brand 2 86 50
3 Brand 3 330 75
3 Brand 4 67 100
3 Brand 5 82 50
3 Brand 6 74 75
3 Brand 7 77 50
3 Brand 8 73 75
3 Brand 9 79 50
3 Brand 10 57 75
4 10 .
4 Brand 1 81 75
4 Brand 2 52 50
4 Brand 3 277 50
4 Brand 4 79 50
4 Brand 5 97 100
4 Brand 6 64 75
4 Brand 7 92 75
4 Brand 8 84 100
4 Brand 9 92 75
4 Brand 10 72 75
5 0 .
5 Brand 1 65 75
5 Brand 2 82 75
5 Brand 3 260 100
5 Brand 4 80 100
5 Brand 5 72 75
5 Brand 6 94 100
5 Brand 7 81 50
5 Brand 8 96 50
5 Brand 9 92 75
5 Brand 10 78 100
6 20 .
6 Brand 1 58 50
6 Brand 2 89 100
6 Brand 3 281 100
6 Brand 4 61 50
6 Brand 5 85 75
6 Brand 6 89 50
6 Brand 7 73 75
6 Brand 8 117 50
6 Brand 9 63 50
6 Brand 10 64 50
7 20 .
7 Brand 1 66 100
7 Brand 2 70 75
7 Brand 3 352 75
7 Brand 4 68 50
7 Brand 5 87 50
7 Brand 6 74 100
7 Brand 7 78 75
7 Brand 8 59 75
7 Brand 9 74 100
7 Brand 10 52 100
8 10 .
8 Brand 1 93 100
8 Brand 2 67 100
8 Brand 3 361 50
8 Brand 4 73 100
8 Brand 5 59 100
8 Brand 6 90 50
8 Brand 7 59 50
8 Brand 8 59 100
8 Brand 9 60 100
8 Brand 10 69 50
9 0 .
9 Brand 1 62 75
9 Brand 2 74 100
9 Brand 3 341 75
9 Brand 4 95 75
9 Brand 5 87 50
9 Brand 6 79 50
9 Brand 7 53 100
9 Brand 8 68 75
9 Brand 9 66 75
9 Brand 10 75 50
10 20 .
10 Brand 1 92 100
10 Brand 2 77 75
10 Brand 3 310 50
10 Brand 4 72 100
10 Brand 5 58 75
10 Brand 6 65 50
10 Brand 7 64 100
10 Brand 8 56 75
10 Brand 9 81 75
10 Brand 10 105 75
11 10 .
11 Brand 1 74 100
11 Brand 2 66 100
11 Brand 3 290 100
11 Brand 4 98 75
11 Brand 5 58 50
11 Brand 6 71 75
11 Brand 7 61 75
11 Brand 8 95 100
11 Brand 9 70 75
11 Brand 10 107 100
12 0 .
12 Brand 1 79 50
12 Brand 2 90 75
12 Brand 3 350 100
12 Brand 4 76 50
12 Brand 5 53 50
12 Brand 6 55 50
12 Brand 7 63 50
12 Brand 8 63 100
12 Brand 9 104 100
12 Brand 10 67 75
13 0 .
13 Brand 1 91 75
13 Brand 2 85 50
13 Brand 3 346 100
13 Brand 4 79 100
13 Brand 5 88 50
13 Brand 6 90 100
13 Brand 7 67 100
13 Brand 8 61 100
13 Brand 9 42 50
13 Brand 10 51 50
14 10 .
14 Brand 1 79 50
14 Brand 2 90 100
14 Brand 3 323 75
14 Brand 4 72 100
14 Brand 5 49 100
14 Brand 6 59 75
14 Brand 7 103 100
14 Brand 8 80 50
14 Brand 9 50 100
14 Brand 10 85 100
15 0 .
15 Brand 1 96 100
15 Brand 2 94 50
15 Brand 3 299 75
15 Brand 4 86 50
15 Brand 5 81 100
15 Brand 6 64 100
15 Brand 7 89 50
15 Brand 8 69 50
15 Brand 9 55 75
15 Brand 10 67 50
16 20 .
16 Brand 1 60 50
16 Brand 2 66 50
16 Brand 3 316 50
16 Brand 4 44 75
16 Brand 5 77 75
16 Brand 6 78 100
16 Brand 7 75 75
16 Brand 8 108 75
16 Brand 9 71 100
16 Brand 10 85 50
17 10 .
17 Brand 1 86 75
17 Brand 2 62 75
17 Brand 3 321 75
17 Brand 4 58 75
17 Brand 5 107 100
17 Brand 6 57 50
17 Brand 7 62 75
17 Brand 8 78 50
17 Brand 9 92 50
17 Brand 10 67 75
18 20 .
18 Brand 1 63 75
18 Brand 2 92 100
18 Brand 3 287 50
18 Brand 4 79 50
18 Brand 5 80 75
18 Brand 6 45 75
18 Brand 7 94 50
18 Brand 8 56 75
18 Brand 9 86 50
18 Brand 10 98 100
19 0 .
19 Brand 1 64 100
19 Brand 2 92 75
19 Brand 3 316 100
19 Brand 4 80 75
19 Brand 5 85 100
19 Brand 6 80 75
19 Brand 7 76 50
19 Brand 8 55 75
19 Brand 9 65 50
19 Brand 10 87 50
20 30 .
20 Brand 1 63 75
20 Brand 2 67 75
20 Brand 3 322 50
20 Brand 4 77 50
20 Brand 5 84 50
20 Brand 6 63 75
20 Brand 7 64 100
20 Brand 8 38 50
20 Brand 9 84 100
20 Brand 10 108 50
21 10 .
21 Brand 1 78 50
21 Brand 2 106 75
21 Brand 3 328 75
21 Brand 4 78 100
21 Brand 5 61 75
21 Brand 6 45 75
21 Brand 7 65 75
21 Brand 8 111 100
21 Brand 9 47 75
21 Brand 10 71 50
22 0 .
22 Brand 1 105 50
22 Brand 2 61 100
22 Brand 3 301 50
22 Brand 4 89 75
22 Brand 5 79 50
22 Brand 6 64 100
22 Brand 7 72 50
22 Brand 8 88 50
22 Brand 9 65 75
22 Brand 10 76 75
23 0 .
23 Brand 1 58 50
23 Brand 2 65 50
23 Brand 3 355 100
23 Brand 4 95 50
23 Brand 5 73 100
23 Brand 6 58 50
23 Brand 7 62 100
23 Brand 8 63 75
23 Brand 9 112 75
23 Brand 10 59 100
24 20 .
24 Brand 1 54 75
24 Brand 2 50 50
24 Brand 3 365 75
24 Brand 4 95 75
24 Brand 5 61 75
24 Brand 6 97 50
24 Brand 7 53 50
24 Brand 8 93 100
24 Brand 9 67 100
24 Brand 10 45 100
25 0 .
25 Brand 1 79 75
25 Brand 2 68 100
25 Brand 3 328 100
25 Brand 4 79 100
25 Brand 5 82 100
25 Brand 6 63 100
25 Brand 7 100 75
25 Brand 8 52 75
25 Brand 9 71 100
25 Brand 10 78 75
26 20 .
26 Brand 1 89 100
26 Brand 2 42 50
26 Brand 3 278 50
26 Brand 4 48 100
26 Brand 5 85 50
26 Brand 6 80 50
26 Brand 7 88 75
26 Brand 8 93 50
26 Brand 9 127 50
26 Brand 10 50 100
27 0 .
27 Brand 1 68 100
27 Brand 2 101 100
27 Brand 3 352 75
27 Brand 4 58 50
27 Brand 5 82 75
27 Brand 6 60 100
27 Brand 7 47 100
27 Brand 8 73 100
27 Brand 9 94 50
27 Brand 10 65 75
;
%mktallo(data=drugs, out=allocation, nalts=11,
vars=set brand price, freq=Count)
proc print data=allocation(obs=22);
var set brand price count c;
run;