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In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables.
Linear and non-linearregression methods were compared to determine the best fitting of isotherm and kinetic model to experimental data.
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The relative volume of the stained region was correlated with the number of loading cycles by non-linearregression using a power-law.
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Data analyses employed ANOVAs and non-linearregressions.
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The intrinsic kinetic parameters are also determined by comparing predicted values to those of the experimental results by applying non-linearregressions.