specifies how the data set observations are to be accumulated within each time period for the variables listed in the VAR or CROSSVAR statement. If the ACCUMULATE= option is not specified in the VAR or CROSSVAR statement, accumulation is determined by the ACCUMULATE= option of the ID statement. See the ID statement ACCUMULATE= option for more details.

specifies the differencing to be applied to the accumulated time series. The list of differencing orders must be separated by spaces or commas. For example, DIF=(1,3) specifies first then third order differencing. Differencing is applied after time series transformation. The TRANSFORM= option is applied before the DIF= option.

specifies the seasonal differencing to be applied to the accumulated time series. The list of seasonal differencing orders must be separated by spaces or commas. For example, SDIF=(1,3) specifies first then third order seasonal differencing. Differencing is applied after time series transformation. The TRANSFORM= option is applied before the SDIF= option.

specifies how missing values (either actual or accumulated) are to be interpreted in the accumulated time series for variables listed in the VAR or CROSSVAR statement. If the SETMISSING= option is not specified in the VAR or CROSSVAR statement, missing values are set based on the SETMISSING= option of the ID statement. See the ID statement SETMISSING= option for more details.

specifies the time series transformation to be applied to the accumulated time series. The following transformations are provided:

NONE

No transformation is applied. This option is the default.

LOG

logarithmic transformation

SQRT

square-root transformation

LOGISTIC

logistic transformation

BOXCOX(n )

Box-Cox transformation with parameter number where the number is between –5 and 5

When the TRANSFORM= option is specified, the time series must be strictly positive.