Predefined Models in the Model Repository

The model repository includes the following predefined models. Models that are created in Interactive Modeling can be added to the model repository.

Predefined Models

Model name

Details

ADDWINTERS

Winters Method (Additive)

AIRLINE

ARIMA: Y ~ D = (1,s) Q = ((1)(1)s) NOINT

ARIMA000011NOINT

ARIMA: Y ~ D = (s) Q = (1)s NOINT

ARIMA011100NOINT

ARIMA: Y ~ P = (1)s D = (1) Q = 1 NOINT

ARIMA012011NOINT

ARIMA: Y ~ D = (1,s) Q = ((1,2)(1)s) NOINT

ARIMA022011NOINT

ARIMA: Y ~ D = (1,1,s) Q = ((1,2)(1)s) NOINT

ARIMA200100

ARIMA: Y ~ P = ((1,2)(1)s)

ARIMA210011NOINT

ARIMA: Y ~ P = 2 D = (1,s) Q = (1)s NOINT

ARIMA212011NOINT

ARIMA: Y ~ P = 2 D = (1,s) Q = ((1,2)(1)s) NOINT

BEST

Best Smoothing Method

BESTN

Best Nonseasonal Smoothing Method

BESTS

Best Seasonal Smoothing Method

DAMPTREND

Damped-Trend Exponential Smoothing

DOUBLE

Double Exponential Smoothing

LINEAR

Linear Exponential Smoothing

LINEARSEASONALDUMMIES

ARIMA: Y ~ NOINT + INPUT1: LINEAR + INPUT2: SEASONAL

LINEARTREND

ARIMA: Y ~ CONST + INPUT: LINEAR

LINEARTRENDAR

ARIMA: Y ~ P = ((1,2,3)(1)s) NOINT + INPUT: LINEAR

LOGADDWINTERS

Log Winters Method (Additive)

LOGAIRLINE

ARIMA: Log( Y ) ~ D = (1,s) Q = ((1)(1)s) NOINT

LOGAIRLINE

ARIMA: Log( Y ) ~ D = (1,s) Q = ((1)(1)s) NOINT

LOGARIMA000011NOINT

ARIMA: Log( Y ) ~ D = (s) Q = (1)s NOINT

LOGARIMA011100NOINT

ARIMA: Log( Y ) ~ P = (1)s D = (1) Q = 1 NOINT

LOGARIMA012011NOINT

ARIMA: Log( Y ) ~ D = (1,s) Q = ((1,2)(1)s) NOINT

LOGARIMA022011NOINT

ARIMA: Log( Y ) ~ D = (1,1,s) Q = ((1,2)(1)s) NOINT

LOGARIMA200100

ARIMA: Log( Y ) ~ P = ((1,2)(1)s)

LOGARIMA210011NOINT

ARIMA: Log( Y ) ~ P = 2 D = (1,s) Q = (1)s NOINT

LOGARIMA212011NOINT

ARIMA: Log( Y ) ~ P = 2 D = (1,s) Q = ((1,2)(1)s) NOINT

LOGDAMPTREND

Log Damped-Trend Exponential Smoothing

LOGDOUBLE

Log Double Exponential Smoothing

LOGLINEAR

Log Linear Exponential Smoothing

LOGLINEARSEASONALDUMMIES

ARIMA: Log( Y ) ~ NOINT + INPUT1: LINEAR + INPUT2: SEASONAL

LOGLINEARTREND

ARIMA: Log( Y ) ~ CONST + INPUT: LINEAR

LOGLINEARTRENDAR

ARIMA: Log( Y ) ~ P = ((1,2,3)(1)s) NOINT + INPUT: LINEAR

LOGMEAN

ARIMA: Log( Y ) ~ CONST

LOGRWWD

ARIMA: Log( Y ) ~ D = (1)

LOGSEASONAL

Log Seasonal Exponential Smoothing

LOGSEASONALDUMMIES

ARIMA: Log( Y ) ~ NOINT + INPUT: SEASONAL

LOGSIMPLE

Log Simple Exponential Smoothing

LOGWINTERS

Log Winters Method (Multiplicative)

LSMADWN

Log Winters Method (Additive)

LSMDAMP

Log Damped-Trend Exponential Smoothing

LSMDOUB

Log Double Exponential Smoothing

LSMLIN

Log Linear Exponential Smoothing

LSMSEAS

Log Seasonal Exponential Smoothing

LSMSIMP

Log Simple Exponential Smoothing

LSMWINT

Log Winters Method (Multiplicative)

MEAN

ARIMA: Y ~ CONST

RWWD

ARIMA: Y ~ D = (1)

SEASONAL

Seasonal Exponential Smoothing

SEASONALDUMMIES

ARIMA: Y ~ NOINT + INPUT: SEASONAL

SIMPLE

Simple Exponential Smoothing

SMADWN

Winters Method (Additive)

SMDAMP

Damped-Trend Exponential Smoothing

SMDOUB

Double Exponential Smoothing

SMLIN

Linear Exponential Smoothing

SMSEAS

Seasonal Exponential Smoothing

SMSIMP

Simple Exponential Smoothing

SMWINT

Winters Method (Multiplicative)

WINTERS

Winters Method (Multiplicative)

Last updated: March 16, 2026