## REGRESS Call

**performs regression analysis**

**RUN REGRESS(** *, , name, <tval>, <l1>,
<l2>, <l3>***);**

The inputs to the REGRESS subroutine are as follows:

- is an numeric matrix, where is the
number of variables and is the number of data points.

- is an response vector.

*name*
- is an matrix of variable names.

*tval*
- is an optional -value.

*l1, l2, l3*
- are optional vectors that specify linear
combinations of coefficients for hypothesis testing.

The REGRESS module does regression analysis and prints results.
The design matrix is given by

, and

is the response vector.
The

*name* vector identifies each of the variables.
If you specify a

-value, the module prints a table of
observed and predicted values, residuals, hat diagonal,
and confidence limits for the mean and predicted values.
If you also specify linear combinations with

*l1*,

*l2*, and

*l3*, the module performs
the hypothesis test

,
where

is the vector of parameter estimates.

Copyright © 2009 by SAS Institute Inc., Cary, NC, USA. All rights reserved.