Time Series Model Package

TSMFOR Object

The TSMFOR object collects forecast series from a TSM object, TSMObj, and stores them in an output table. The table schema that is used for storing the set of forecast series variables is compatible with the schema that the HPFENGINE procedure uses for the data set that is specified in the TSMFOR= option. Alternatively, the TSMFOR object can be configured to collect from a TSM object the smoothed (imputed) values for the dependent series and their associated standard errors and confidence limits.

Table 15 shows the contents of the TSMFOR object.

Table 15: Contents of the TSMFOR Object

Column Type Description
_NAME_ String Name of the dependent variable
_MODEL_ String (Optional) Model name
_TIMEID_ Numeric Uniform time ID values for series
ACTUAL Numeric Accumulated values of dependent variable
ERROR Numeric Residuals
LOWER Numeric Lower confidence limit
PREDICT Numeric Forecasts of the dependent variable
STD Numeric Prediction standard error
UPPER Numeric Upper confidence limit


Table 16 summarizes the methods that are associated with the TSMFOR object.

Table 16: Methods of the TSMFOR Object

Method Description
Collect Collect forecasts estimates from the TSM object
nrows Return the number of rows collected
SetOption Specifies options for the TSMFOR instance


Figure 11 illustrates the data flow through the TSMFOR object.

Figure 11: TSMFOR Object Data Flow

TSMFOR Object Data Flow


Last updated: July 09, 2026