PROC X12: Functional Summary :: SAS/ETS(R) 9.2 User's Guide

The X12 Procedure

Table 32.1 summarizes the statements and options that control the X12 procedure.

Table 32.1 X12 Syntax Summary
Description	Statement	Option
Data Set Options
specify input data set	PROC X12	DATA=
specify regression and ARIMA information	PROC X12	MDLINFOIN=
output regression and ARIMA information	PROC X12	MDLINFOOUT=
write table values to an output data set	OUTPUT	OUT=
Display Control Options
suppress all displayed output	PROC X12	NOPRINT
request tables that are not displayed by default	TABLES
specify that the summary line not be displayed	TABLES	NOSUM
display iterations history	ESTIMATE	ITPRINT
display information on restarted iterations	ESTIMATE	PRINTERR
display regression model parameter estimates	IDENTIFY	PRINTREG
display automatic model information	AUTOMDL	PRINT=
Date Information Options
specify the date variable	PROC X12	DATE=
specify the date of the first observation	PROC X12	START=
specify the beginning and/or ending date of the subset	PROC X12	SPAN=
specify the interval of the time series	PROC X12	INTERVAL=
specify the interval of the time series	PROC X12	SEASONS=
Declaring the Role of Variables
specify BY-group processing	BY
specify identifying variables	ID
specify the variables to be seasonally adjusted	VAR
specify user-defined variables available for regression	USERDEFINED
Controlling the Table Computations
suppress trimming of leading/trailing missing values	PROC X12	NOTRIMMISS
transform or prior-adjust the series	TRANSFORM	FUNCTION=
transform or prior-adjust the series	TRANSFORM	POWER=
adjust the series by using a predefined	ADJUST	PREDEFINED=
adjustment variable
use differencing to identify the ARIMA part of the model	IDENTIFY
specify automatic outlier detection	OUTLIER
estimate the regARIMA model specified by the REGRESSION and ARIMA statements or the MDLINFOIN= option	ESTIMATE
specify seasonal adjustment	X11
specify the number of forecasts to extend the series for seasonal adjustment	FORECAST	LEAD=
Specifying the Regression Model
specify Census regression variables	REGRESSION	PREDEFINED=
specify user-defined regression variables	REGRESSION	USERVAR=
specify user defined event definition data set	PROC X12	INEVENT=
specify user defined event regression variables	EVENT
Specifying the ARIMA Model
use X-12-ARIMA TRAMO-based method to choose a model	AUTOMDL
specify the ARIMA part of the model	ARIMA	MODEL=

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