Erum Ayub, Simply put, the term linear fit refers only to the fit of linear functions to given data, and the term nonlinear fit refers to the fit of nonlinear functions to given data. Unfortunately, the term linear fit is also often mistakenly applied to various graphic methods, in particular to the H-W like plot method used, inter alia, for the Langmuir isotherm. Fitting, however, does not concern the original equilibrium data (Ce, qe), but nonlinear transformed data (Ce, Ce/qe). Therefore, the term linear fit is a far-reaching shortcut here. What is better? Nonlinear methods are better because graphical methods modify the error distribution and the statistical distribution of new variables. But it should be remembered that graphical methods allow for easier, much faster, but less accurate estimation of approximating function parameters than nonlinear methods.
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