DesignedRegress

As of Version 7.0, DesignedRegress has been superseded by LinearModelFit.

DesignedRegress[matrix,vector]
finds a leastsquares fit given the design matrix matrix and response vector vector.

DesignedRegress[svd,vector]
finds a fit given the singular value decomposition svd of a design matrix.

DetailsDetails

ExamplesExamplesopen allclose all

Basic Examples  (1)Basic Examples  (1)

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Linear regression with one constant and one nonconstant basis function:

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