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# Data to test lsqfit and medfit fitting routines.
# Line: Y = A + (B * X) where: A = 4.5; B = 0.2
# I X Y SIG
1 0.1 4.517 0.004517
2 0.2 4.860 0.004860
3 0.3 4.675 0.004675
4 0.4 4.641 0.004641
5 0.5 4.442 0.004442
6 0.6 4.469 0.004469
7 0.7 4.859 0.004859
8 0.8 4.565 0.004565
9 0.9 4.882 0.004882
10 1.0 4.377 0.004377
11 1.1 4.938 0.004938
12 1.2 4.983 0.004983
13 1.3 4.673 0.004673
14 1.4 4.403 0.004403
15 1.5 4.793 0.004793
16 1.6 5.045 0.005045
17 1.7 4.751 0.004751
18 1.8 5.269 0.005269
19 1.9 4.803 0.004803
20 2.0 5.171 0.005171
21 2.1 5.131 0.005131
22 2.2 5.430 0.005430
23 2.3 5.109 0.005109
24 2.4 4.759 0.004759
25 2.5 4.305 0.004305
26 2.6 4.712 0.004712
27 2.7 5.008 0.005008
28 2.8 5.190 0.005190
29 2.9 5.294 0.005294
30 3.0 5.139 0.005139
31 3.1 5.277 0.005277
32 3.2 4.678 0.004678
33 3.3 4.772 0.004772
34 3.4 5.250 0.005250
35 3.5 5.294 0.005294
36 3.6 5.269 0.005269
37 3.7 5.287 0.005287
38 3.8 4.934 0.004934
39 3.9 5.065 0.005065
40 4.0 5.301 0.005301
41 4.1 5.573 0.005573
42 4.2 5.160 0.005160
43 4.3 5.389 0.005389
44 4.4 5.844 0.005844
45 4.5 5.276 0.005276
46 4.6 5.337 0.005337
47 4.7 5.601 0.005601
48 4.8 5.751 0.005751
49 4.9 5.466 0.005466
50 5.0 5.579 0.005579
51 5.1 5.437 0.005437
52 5.2 5.120 0.005120
53 5.3 5.468 0.005468
54 5.4 4.921 0.004921
55 5.5 5.428 0.005428
56 5.6 5.217 0.005217
57 5.7 5.972 0.005972
58 5.8 5.813 0.005813
59 5.9 5.548 0.005548
60 6.0 5.302 0.005302
61 6.1 5.553 0.005553
62 6.2 5.601 0.005601
63 6.3 5.417 0.005417
64 6.4 5.596 0.005596
65 6.5 6.101 0.006101
66 6.6 5.621 0.005621
67 6.7 5.768 0.005768
68 6.8 5.921 0.005921
69 6.9 6.224 0.006224
70 7.0 5.929 0.005929
71 7.1 5.752 0.005752
72 7.2 6.060 0.006060
73 7.3 5.781 0.005781
74 7.4 5.567 0.005567
75 7.5 5.496 0.005496
76 7.6 6.287 0.006287
77 7.7 5.741 0.005741
78 7.8 6.319 0.006319
79 7.9 6.105 0.006105
80 8.0 6.221 0.006221
81 8.1 6.054 0.006054
82 8.2 6.210 0.006210
83 8.3 6.429 0.006429
84 8.4 6.032 0.006032
85 8.5 6.441 0.006441
86 8.6 6.148 0.006148
87 8.7 6.144 0.006144
88 8.8 6.541 0.006541
89 8.9 6.187 0.006187
90 9.0 6.436 0.006436
91 9.1 6.741 0.006741
92 9.2 6.509 0.006509
93 9.3 5.844 0.005844
94 9.4 6.353 0.006353
95 9.5 6.312 0.006312
96 9.6 6.466 0.006466
97 9.7 6.724 0.006724
98 9.8 6.699 0.006699
99 9.9 6.704 0.006704
100 10.0 6.592 0.006592
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