MODEL Statement

MODEL responses=independents < / options > ;

_TYPE_

Task		Options
Analyze Original Data		NOCODE
Fit Model to First BY Group Only		BYOUT
Declare Covariates		COVAR=
Request Additional Statistics		PRESS
Request Additional Tests		LACKFIT
Suppress Displayed Output		NOANOVA
		NOOPTIMAL
		NOPRINT
Output Statistics		ACTUAL
		PREDICT
		RESIDUAL
		L95
		U95
		L95M
		U95M
		D

ACTUAL

specifies that the observed response values from the input data set be written to the output data set.

BYOUT

uses only the first BY group to estimate the model. Subsequent BY groups have scoring statistics computed in the output data set only. The BYOUT option is used only when a BY statement is specified.

COVAR=n

declares that the first n variables on the right-hand side of the model are simple linear regressors (covariates) and not factors in the quadratic response surface. By default, PROC RSREG forms quadratic and crossproduct effects for all regressor variables in the MODEL statement. See the "Handling Covariates" section for more details and Example 56.2 for an example using covariates.

specifies that Cook's D influence statistic be written to the output data set. See Chapter 3, "Introduction to Regression Procedures," for details and formulas.

LACKFIT

performs a lack-of-fit test. Refer to Draper and Smith (1981) for a discussion of lack-of-fit tests.

L95

specifies that the lower bound of a 95% confidence interval for an individual predicted value be written to the output data set. The variance used in calculating this bound is a function of both the mean square error and the variance of the parameter estimates. See Chapter 3 for details and formulas.

L95M

specifies that the lower bound of a 95% confidence interval for the expected value of the dependent variable be written to the output data set. The variance used in calculating this bound is a function of the variance of the parameter estimates. See Chapter 3 for details and formulas.

NOANOVA

NOAOV

suppresses the display of the analysis of variance and parameter estimates from the model fit.

NOCODE

performs the canonical and ridge analyses with the parameter estimates derived from fitting the response to the original values of the factors variables, rather than their coded values (see the "Coding the Factor Variables" section for more details.) Use this option if the data are already stored in a coded form.

NOOPTIMAL

NOOPT

suppresses the display of the canonical analysis for the quadratic response surface.

NOPRINT

suppresses the display of both the analysis of variance and the canonical analysis.

PREDICT

specifies that the values predicted by the model be written to the output data set.

PRESS

computes and displays the predicted residual sum of squares (PRESS) statistic for each dependent variable in the model. The PRESS statistic is added to the summary information at the beginning of the analysis of variance, so if the NOANOVA or NOPRINT option is specified, PRESS has no effect. See Chapter 3 for details and formulas.

RESIDUAL

specifies that the residuals, calculated as ACTUAL - PREDICTED, be written to the output data set.

U95

specifies that the upper bound of a 95% confidence interval for an individual predicted value be written to the output data set. The variance used in calculating this bound is a function of both the mean square error and the variance of the parameter estimates. See Chapter 3 for details and formulas.

U95M

specifies that the upper bound of a 95% confidence interval for the expected value of the dependent variable be written to the output data set. The variance used in calculating this bound is a function of the variance of the parameter estimates. See Chapter 3 for details and formulas.