The SR is to be performed with experimental systems data and it is to be acknowledged that all measurements have an error. Following a globally optimal approach targeting exclusively model accuracy (Eq. 1), errors are represented in the final model what is also known as overfitting. Hence, methodological measures have to be included to restrict the influence of errors on the final model and assure generalisation capabilities with low errors to unseen data.