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JMP 11 Design of Experiments Guide by SAS Institute

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Examples of Nonlinear Designs
The Nonlinear Designer allows scientists to generate optimal designs and optimally augment data for fitting models that are nonlinear in their parameters. Such models, when they are descriptive of the underlying process, can yield more accurate prediction of process behavior than is possible with the standard polynomial models.
To use the Nonlinear Designer, you first need a data table that has
one column for each factor
one column for the response
a column that contains a formula showing the functional relationship between the factor(s) and the response.
This is the same format for a table you would supply to the nonlinear platform for modeling.
The first example in this section describes how to approach ...

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