Hello, R people:

     I have a question in using fSeries package--the funciton garchFit and
garchOxFit
  if adding a regression to the  mean formula, how to estimate the model in
R? using garchFit or garchOxFit?
   For example, Observations is {x,y}_t,there may be some relation between x
and y.
   the model is
    y_t=gamma0 + *gamma1*x_t*+psi*e_{t-1}+e_t       the gamma1*x_t is
regression.
    e_t=sqrt(h_t)*N(0,1)
    h_t=alpha0+alpha1*e_t^2+beta*h_{t_1}~~~~~~~GARCH(1,1).
    I  didn't know how to estimate the model using function garchFit or
garchOxFit or other functions?    because the argument in
garchFit/garchOxFit is formular.mean=~arma(1,1).

   Do you have some instrucitons?
   thank you very much for you help.

Best wishes

Ma Yuchao

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