RegressionCommon`
RegressionCommon`
PartialSumOfSquares
As of Version 7.0, PartialSumOfSquares has become a property of LinearModelFit.
PartialSumOfSquares
is a possible value for the RegressionReport option to Regress and DesignedRegress which represents the change in the model sum of squares as nonconstant basis functions are removed.
更多信息和选项
- To use PartialSumOfSquares, you first need to load the Regression Common Functions Package. You can do this by using Needs["LinearRegression`"], which will automatically load the Regression Common Functions Package, or you can load the package directly by using Needs["RegressionCommon`"].
- PartialSumOfSquares is useful for trimming a large set of predictors.
- Basis functions yielding a small value for the partial sum of squares have less influence on the fit.
Wolfram Research (2007)，PartialSumOfSquares，Wolfram 语言函数，https://reference.wolfram.com/language/RegressionCommon/ref/PartialSumOfSquares.html.
文本
Wolfram Research (2007)，PartialSumOfSquares，Wolfram 语言函数，https://reference.wolfram.com/language/RegressionCommon/ref/PartialSumOfSquares.html.
CMS
Wolfram 语言. 2007. "PartialSumOfSquares." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/RegressionCommon/ref/PartialSumOfSquares.html.
APA
Wolfram 语言. (2007). PartialSumOfSquares. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/RegressionCommon/ref/PartialSumOfSquares.html 年