RegressionCommon`
RegressionCommon`
SequentialSumOfSquares
As of Version 7.0, SequentialSumOfSquares has become a property of LinearModelFit.
SequentialSumOfSquares
is a possible value for the RegressionReport option for Regress and DesignedRegress which represents the model sum of squares partitioned componentwise.
更多信息和选项
- To use SequentialSumOfSquares, 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`"].
- SequentialSumOfSquares gives the component sums of squares as each nonconstant basis function is added sequentially to the model.
- Sequential sums of squares are also referred to as type I sum of squares.
Wolfram Research (2007),SequentialSumOfSquares,Wolfram 语言函数,https://reference.wolfram.com/language/RegressionCommon/ref/SequentialSumOfSquares.html.
文本
Wolfram Research (2007),SequentialSumOfSquares,Wolfram 语言函数,https://reference.wolfram.com/language/RegressionCommon/ref/SequentialSumOfSquares.html.
CMS
Wolfram 语言. 2007. "SequentialSumOfSquares." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/RegressionCommon/ref/SequentialSumOfSquares.html.
APA
Wolfram 语言. (2007). SequentialSumOfSquares. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/RegressionCommon/ref/SequentialSumOfSquares.html 年