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Link fix.
* Moved multifit_covar into lib.statistics, since it is an independent module. [https://gna.org/task/?7822 Task #7822: Implement user function to estimate R<sub>2eff</sub> and associated errors for exponential curve fitting].
* Moved "func_exp_grad" into experimental class for different minimisation methods. [https://gna.org/task/?7822 Task #7822: Implement user function to estimate R<sub>2eff</sub> and associated errors for exponential curve fitting].
* Improved documentation to [user function http://www.nmr-relax.com/manual/relax_disp_r2eff_err_estimate.html documentation to user function relax_disp.r2eff_err_estimate], and removed the possibility to use the χ<sup>2</sup> Jacobian, as this is rubbish. But the back-end still have this possibility, should one desire to try this. [https://gna.org/task/?7822 Task #7822: Implement user function to estimate R<sub>2eff</sub> and associated errors for exponential curve fitting].
* Moved the argument 'chi2_jacobian' as the last argument in estimate_r2eff_err. This argument is highly likely not to be used, but is kept for future testing purposes. [https://gna.org/task/?7822 Task #7822: Implement user function to estimate R<sub>2eff</sub> and associated errors for exponential curve fitting].
* Fix to experimental class for fitting with different methods. After moving the function into class, 'self' should be added to the function. [https://gna.org/task/?7822 Task #7822: Implement user function to estimate R<sub>2eff</sub> and associated errors for exponential curve fitting].
