relax SVN archive

Added simulations that show, there is perfect agreement between Monte-Carlo simulations and Co-Variance estimation.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Modified data script generator, to handle a situation with fixed 5 timepoints, and a situations with variable number of timepoints.
Also modified analysis script.

It seems, this has an influence how the error estimation is performing.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Deleted test data set.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Added initial dataset for test analysis.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Improved analysing test script, with plotting. It seems that R2eff error estimation always get the same result.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Added Jacobian to test script, and now correctly do Simulations, per R2eff points.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

In module for estimating R2eff errors, removed " values, errors" to be send to function for gradient, since they are not used.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Added number of simulations to 10.000 in test script, and varied the random number of time point per simulation between 3 and 10.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

First try to make a test script for estimating effienciency on R2eff error calculations.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Initial try write comments how to generalize the scaling of the co-variance according to the reduced chi2 distribution.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.