Thu Sep 13 10:33:19 2018

LLSQ_TEST
  Python version: 3.6.5
  Test the LLSQ library.

LLSQ_TEST01
  Python version: 3.6.5
  LLSQ can compute the formula for a line of the form
    y = A * x + B
  which minimizes the RMS error to a set of N data values.

  Estimated relationship is y = 61.2722 * x + -39.062
  Expected value is         y = 61.272 * x - 39.062

     I      X       Y        B+A*X      |error|

     0  1.470000  52.210000  51.008158  -1.201842
     1  1.500000  53.120000  52.846324  -0.273676
     2  1.520000  54.480000  54.071768  -0.408232
     3  1.550000  55.840000  55.909933  0.069933
     4  1.570000  57.200000  57.135377  -0.064623
     5  1.600000  58.570000  58.973543  0.403543
     6  1.630000  59.930000  60.811708  0.881708
     7  1.650000  61.290000  62.037152  0.747152
     8  1.680000  63.110000  63.875317  0.765317
     9  1.700000  64.470000  65.100761  0.630761
    10  1.730000  66.280000  66.938927  0.658927
    11  1.750000  68.100000  68.164371  0.064371
    12  1.780000  69.920000  70.002536  0.082536
    13  1.800000  72.190000  71.227980  -0.962020
    14  1.830000  74.460000  73.066145  -1.393855

  RMS error =                           0.706662

LLSQ_TEST01
  Normal end of execution.

LLSQ_TEST
  Normal end of execution.
Thu Sep 13 10:33:19 2018