4H2012 508 nonLinear Regression

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This document discusses nonlinear regression analysis using R. It provides an example of using the nls function to fit nonlinear curves to data. Specifically, it generates random y-data using an exponential decay function of t, plots the data, and performs nonlinear regression to estimate the parameters of the underlying exponential decay model. It also discusses fitting a Gompertz growth curve model to height data using nls. The output is analyzed to test if parameter estimates are statistically significant. Finally, it briefly introduces self-starting nonlinear regression models in R that do not require initial parameter values.

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