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- linear least squares on set of data previously done by hand
-
- nvert= 3 nparm= 2
-
- ndata= 11 ndatval= 4
-
- iter= 0 maxquad_skip= 4 exit_test= 1.E-12
-
- prt_cycle= 30 quad_test= 100
-
- simplex[nvert][nparm=a,b]=
- -1e-6 -1e-6
- 1e6 -1e-6
- -1e-6 1e6
-
-
- data[ndata][y,yc,w,x]=
- 3.1 0 1 1
- 4.9 0 1 2
- 7.3 0 1 3
- 8.7 0 1 4
- 10.7 0 1 5
- 13.0 0 1 6
- 15.3 0 1 7
- 17.3 0 1 8
- 18.7 0 1 9
- 21.1 0 1 10
- 22.9 0 1 11
-
- comment:
-
- hand calculation gives intercept a = 1.01090909 std devn = .1641115
-
- slope b = 1.99818182 std devn = .02419692
-
- (compare with linefitr results)