As of Version 7.0, has become a property of LinearModelFit.

is a possible value for the RegressionReport option for Regress and DesignedRegress which represents tabular information about the eigenstructure of the parameter correlation matrix.


  • To use , you first need to load the Regression Common Functions Package. You can do this by using , which will automatically load the Regression Common Functions Package, or you can load the package directly by using .
  • includes eigenvalues and associated condition indices listed from largest to smallest.
  • The table also includes the proportion of the variance attributable to each eigenvalue for each nonconstant basis function.

ExamplesExamplesopen allclose all

Basic Examples  (1)Basic Examples  (1)

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Sample data:

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for a linear regression:

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