RegressionCommon`
RegressionCommon`

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.

Examples

Basic Examples  (1)

Sample data:

BestFitParameters for a linear regression:

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

Text

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

CMS

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

APA

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

BibTeX

@misc{reference.wolfram_2024_bestfitparameters, author="Wolfram Research", title="{BestFitParameters}", year="2007", howpublished="\url{https://reference.wolfram.com/language/RegressionCommon/ref/BestFitParameters.html}", note=[Accessed: 21-November-2024 ]}

BibLaTeX

@online{reference.wolfram_2024_bestfitparameters, organization={Wolfram Research}, title={BestFitParameters}, year={2007}, url={https://reference.wolfram.com/language/RegressionCommon/ref/BestFitParameters.html}, note=[Accessed: 21-November-2024 ]}