# lts_linefit_example() and lts_planefit_example() reference 
# output for the LtsFit package version 5.0.18.
# Generated under Python 3.7 using NumPy 1.18, SciPy 1.3, Matplotlib 3.1
#
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Running lts_linefit_example.py

sig_int:     0.0000      2.5670
Computing sig_int
sig_int:     0.0000      2.5670
sig_int:     0.4473     -0.3742
sig_int:     0.3904     -0.2211
sig_int:     0.3147      0.0725
sig_int:     0.3334     -0.0120
sig_int:     0.3308     -0.0005
sig_int:     0.3306      0.0002
Computing sig_int error
sig_int:     0.3306      0.0982
sig_int:     0.4473     -0.2761
sig_int:     0.3612     -0.0243
sig_int:     0.3552     -0.0016
sig_int:     0.3547      0.0000
sig_int:     0.3549     -0.0007
Repeat at best fitting solution
sig_int:     0.3306      0.0002
################# Values and formal errors ################
 intercept:  20.235 +/- 0.029
     slope:  0.500 +/- 0.031
   scatter:  0.331 +/- 0.024
Observed rms scatter: 0.39 
y = a + b*(x - pivot) with pivot = 20.4
Spearman r=0.65 and p=5.3e-37
Pearson r=0.5 and p=9.1e-21
##########################################################
seconds 10.75
The best fitting parameters are: [ 20.23536506   0.49999518]

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Running lts_planefit_example.py

sig_int:     0.0000      2.3049
Computing sig_int
sig_int:     0.0000      2.3049
sig_int:     1.5083     -0.4527
sig_int:     1.2607     -0.2690
sig_int:     0.9359      0.1216
sig_int:     1.0371     -0.0240
sig_int:     1.0204     -0.0017
sig_int:     1.0191      0.0000
sig_int:     1.0197     -0.0007
Computing sig_int error
sig_int:     1.0191      0.1029
sig_int:     1.5083     -0.3498
sig_int:     1.1303     -0.0347
sig_int:     1.1023     -0.0024
sig_int:     1.1002      0.0000
sig_int:     1.1007     -0.0006
Repeat at best fitting solution
sig_int:     1.0191      0.0000
################# Values and formal errors ################
 intercept:  60.743 +/- 0.090
    slopeX:  1.959 +/- 0.061
    slopeY:  0.958 +/- 0.027
   scatter:  1.019 +/- 0.081
Observed rms scatter: 1.2
z = a + b*(x - pivotx) + c*(y - pivoty)
with pivotx = 19.55 & pivoty = 11.74
##########################################################
seconds 14.33
The best fitting parameters are: [ 60.74285125   1.9590924    0.95786781]

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
