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Fitting curves to data using nonlinear regression:
a practical and nonmathematical review
HARVEY J. MOTULSKY AND LENNART A. RANSNAS
Department of Pharmacology, University of Calfornia, San Diego, La Jolla, California 92093, USA
parameters. Before discussing nonlinear regression,
ABSTRACT however, we will first review the other methods used for
fitting curves to data.
Many types of data are best analyzed by fitting a curve
using nonlinear regression, and computer programs Linear regression of transformed data
that perform these calculations are readily available.
Like every scientific technique, however, a nonlinear Linear regression is familiar to all scientists. Data are
regression program can produce misleading results graphed so that the x axis represents the independent
when used inappropriately. This article reviews the use variable and they axis represents the dependent variable.
The line drawn
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