The model provided perfect fitting of the different experiments with the data (see Figure ) and to assess the agreement between experiments, or discrepancies thereof, their respective eigenvalues were compared. In a first round of evaluation, the model eigenvalues (Eqs. 3) were extracted for each experiment, and a Monte Carlo simulation with a Gaussian distribution N (0, σ), where σ the experimental noise, was performed to estimate the effect of the NMR detection noise. The resulting distributions are depicted in Figure , and the corresponding values reported in Table . This analysis is valid when the main source of experimental error is the detection noise of the spectrometer, and under this assumption, the width of the eigenvalue distributions reflects the accuracy achievable with a single experiment. It turns out that one of the experiments (experiment #2) suffered from lower polarization, which resulted in a lower signal to noise ratio and hence in broader eigenvalue distributions. However, all eigenvalues showed satisfactory dispersions, as shown in Table .