To fit experimental data with a theoretical model using MATLAB, it is essential to clarify the specifics of the theoretical model and the type of data involved. A suggested approach is to run the model with input parameters that correspond to those used in the experiments, allowing for the generation of model outputs that can be compared to the experimental data. If least squares curve fitting has been attempted but the fit parameters vary with input, it indicates a need for a more tailored fitting method. The discussion emphasizes that the choice of fitting procedure is context-dependent, and further details about the problem are necessary for effective guidance. Resources for fitting methods are available, including a referenced paper that outlines various procedures.