Hi R-helpers,
I would like to derive a "realistic" R?? between X(t)(time serie1) and
Y(t)(time serie2) from a fitted ARIMA model.
The actual ARIMA model is constructed like this;
Y[t] = a[1]Y[t-1] + ... + a[p]Y[t-p] + k*X(t)
*Y=Serie2
*X=Serie1=Xreg
*AR(p=8)
The correlation between X(t)(serie1) and Y(t)(serie2) is given by how a
large part of the variance is explained: k*X(t)/a(p) (a(p)=> AR(8)).
If this is correct, how could I decompose the model to obtain this?
Thanks a lot!
Jan
> regressie1$arma
ar ma sar sma period diff sdiff
8 0 0 0 36 0 2
_______________________________________________________________________
Jan Verbesselt
Research Associate
Lab of Geomatics and Forest Engineering K.U. Leuven
Vital Decosterstraat 102. B-3000 Leuven Belgium
Tel:+32-16-329750 Fax: +32-16-329760
http://gloveg.kuleuven.ac.be/