NonlinearRegression`
NonlinearRegress functionality is now available using the built-in function NonlinearModelFit.
New system functions
NonlinearModelFit is part of the built-in Mathematica kernel:
Version 6.0
![<< NonlinearRegression`;
NonlinearRegress[{{2, -0.99}, {6, -0.7}, {10, 0.58}, {14,
0.41}, {18, -0.66}}, Sin[a + b*x^2], {a, b}, x,
RegressionReport -> {ParameterTable, RSquared}]](Files/NonlinearRegression.en/legacy_1.gif)
The result is returned as a FittedModel object, of which properties can be returned:
For a list of properties available, use "Properties":
Version 6.0

To get the functional form of the FittedModel object, use Normal:
Some of the properties previously available to NonlinearRegress have been renamed:
NonlinearRegress | NonlinearModelFit |
AsymptoticCorrelationMatrix | "CorrelationMatrix" |
AsymptoticCovarianceMatrix | "CovarianceMatrix" |
MeanPredictionCITable | "MeanPredictionConfidenceIntervalTable" |
ParameterCITable | "ParameterConfidenceIntervalTable" |
SinglePredictionCITable | "SinglePredictionConfidenceIntervalTable" |
SummaryReport | {"BestFitParameters", "ParameterConfidenceIntervalTable", "EstimatedVariance", "ANOVATable", "CorrelationMatrix", "FitCurvatureTable"} |