the var model each endogenous variable in the system as a function of the value of all the endogenous variables in the system lag to construct a model univariate autoregressive model extended to the multivariate time series variables "vector autoregressive model.

VAR model in the system to each one of the variables in the system as all the variables in the hysteresis of the function to construct models that will be single-variable regression models by marketing to more than $variable time series consisting of "vector" regression models.

The VAR model in each causes trouble the quantity the system in to take in the system all in causes trouble the quantity lag value function to come the structure model, thus promotes the single variable from the return model to is composed by the multi-dimensional time series variable “the vector” f

VAR models each endogenous variable in the system as a system of all endogenous variables in function to construct model of hysteresis value, so as to extend the univariate Autoregressive model to consist of multivariate time series variable of "vector" autoregressive model.

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