PredictedResponse

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

PredictedResponse

is a possible value for the RegressionReport option which represents the fitted values for the data.

Details and Options

To use PredictedResponse, 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`"].
PredictedResponse gives the value of BestFit for each of the input data points.

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}};

PredictedResponse for a linear regression:

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

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