1. A method for analyzing an MR spectrum or a nuclear magnetic resonance spectrum, the method using at least two expert systems having chemical and MR-expert analysis tools, the method comprising the steps of: a) initially characterizing all data in the MR spectrum as non-interpreted data; b) feeding, following step a), the non-interpreted data to an input of a first expert system; c) analyzing, in the first expert system, a spectral content of the non-interpreted data of step a) with regard to first specific spectral features thereof which the first expert system is structured to assess and reassigning that non-interpreted data into newly interpreted data and newly non-interpreted data, thereby associating a probability weighting to both the newly non-interpreted and the newly interpreted data; d) feeding the newly interpreted data and the newly non-interpreted data to a controller, the controller structured to evaluate progress in reassigning non-interpreted data into interpreted data and deciding, in dependence on that progress, either to stop an analyzing process or to feed the interpreted and the non-interpreted data back to the input of the first expert system or to an input of a second expert system; e) in the event that the controller decides to feed the interpreted and non-interpreted data back to the first expert system, re-analyzing, in the first expert system, a spectral content of the non-interpreted and interpreted data with regard to the first specific spectral features thereof and re-assigning the non-interpreted data and interpreted data into newly interpreted data and newly non-interpreted data, thereby associating a new probability weighting to both the interpreted data and the non-interpreted data; f) in the event that the controller decides to feed the interpreted and non-interpreted data to the second expert system, re-analyzing, in the second expert system, a spectral content of the non-interpreted and interpreted data with regard to second specific spectral features thereof which the second expert system is structured to assess and re-assigning the interpreted data and the non-interpreted data into newly interpreted data and newly non-interpreted data, thereby associating a new probability weighting to both the non-interpreted and the interpreted data; g) repeating step d); and h) in case of stopping the analyzing process, either sending out a statement that the method could not interpret the data or sending out a resulting information comprising a pair of interpreted and non-interpreted data containing a highest information content compared to other pairs of interpreted and non-interpreted data, wherein a new probability weighted pair of interpreted and non-interpreted data is fed at least twice to one of the first and the second expert systems.