RegressionCommon`
RegressionCommon`

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.

Examples

Basic Examples  (1)

Sample data:

PredictedResponse for a linear regression:

Wolfram Research (2007), PredictedResponse, Wolfram Language function, https://reference.wolfram.com/language/RegressionCommon/ref/PredictedResponse.html.

Text

Wolfram Research (2007), PredictedResponse, Wolfram Language function, https://reference.wolfram.com/language/RegressionCommon/ref/PredictedResponse.html.

CMS

Wolfram Language. 2007. "PredictedResponse." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/RegressionCommon/ref/PredictedResponse.html.

APA

Wolfram Language. (2007). PredictedResponse. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/RegressionCommon/ref/PredictedResponse.html

BibTeX

@misc{reference.wolfram_2025_predictedresponse, author="Wolfram Research", title="{PredictedResponse}", year="2007", howpublished="\url{https://reference.wolfram.com/language/RegressionCommon/ref/PredictedResponse.html}", note=[Accessed: 26-April-2025 ]}

BibLaTeX

@online{reference.wolfram_2025_predictedresponse, organization={Wolfram Research}, title={PredictedResponse}, year={2007}, url={https://reference.wolfram.com/language/RegressionCommon/ref/PredictedResponse.html}, note=[Accessed: 26-April-2025 ]}