The present work highlights two concepts in fitting LC retention data to obtain parameters for the widely used NK model . (1) Reparameterization of the model with an alternative kref parameter can yield more accurate and precise parameters as compared to the original parameterization, which extrapolates to a purely weak solvent. This is inspired by earlier work by Peris-Garcia et al. for several other LC models . (2) Additionally, it is possible to design a series of gradient experiments suitable for high-throughput experiments to obtain accurate and precise NK model parameters, which in turn enable accurate prediction of isocratic retention factors.