BestFitParameters

As of Version 7.0, BestFitParameters has become a property of LinearModelFit and NonlinearModelFit.

BestFitParameters

is a possible value for the RegressionReport option which represents the fitted parameter vector.

Details and Options

To use BestFitParameters, you first need to load the Regression Common Functions Package. You can do this by using Needs["LinearRegression`"] or Needs["NonlinearRegression`"], which will automatically load the Regression Common Functions Package, or you can load the package directly by using Needs["RegressionCommon`"].
BestFitParameters gives the list of estimated parameter values for the model.

Wolfram Language code: Needs["LinearRegression`"]

Sample data:

Wolfram Language code:

data = {{0.05, 90}, {0.09, 95}, {0.14, 110}, 
{0.17, 125}, {0.2, 140}, {0.21, 150}, 
{0.23, 175}, {0.25, 190}, {0.3, 210}, 
{0.35, 255}};

BestFitParameters for a linear regression:

Wolfram Language code: Regress[data, {1, x ^ 2}, x, RegressionReport -> {BestFitParameters}]

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