This shows there is excellent agreement between boot-strapping and estimation of errors from Co-variance, while
relax Monte-Carlo simulations are very much different.
Boot strapping is the "-2":
-2 0.070 0.085 0.087 0.095 0.086 0.076 0.087 0.072 0.069 0.077 0.025 0.035 0.018 0.015 sum= 0.897
-1 0.069 0.081 0.085 0.092 0.085 0.074 0.083 0.069 0.066 0.074 0.025 0.035 0.018 0.016 sum= 0.874
0 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 sum= 0.000
400 0.034 0.043 0.044 0.049 0.046 0.037 0.042 0.035 0.031 0.039 0.014 0.018 0.009 0.008 sum= 0.450
800 0.032 0.040 0.041 0.046 0.042 0.036 0.040 0.034 0.034 0.037 0.013 0.018 0.009 0.008 sum= 0.431
1200 0.033 0.041 0.042 0.046 0.043 0.037 0.042 0.036 0.034 0.038 0.012 0.018 0.009 0.008 sum= 0.439
1600 0.036 0.041 0.042 0.047 0.043 0.038 0.042 0.035 0.035 0.037 0.013 0.018 0.009 0.008 sum= 0.443
2000 0.034 0.042 0.042 0.046 0.042 0.036 0.043 0.035 0.034 0.037 0.013 0.017 0.009 0.008 sum= 0.438
task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.
