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As of Version 7.0, DesignedRegress has been superseded by LinearModelFit.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

Details

Examples

open allclose all

Basic Examples  (1)

In[1]:=
Click for copyable input

Linear regression with one constant and one nonconstant basis function:

In[2]:=
Click for copyable input
Out[2]=

Options  (5)

See Also

Regress  DesignMatrix  Fit  LeastSquares

Tutorials