R help - Mar 2012 - how to calculate AIC value from below values using time series model

>t 
-0.15264004 
0.056076439 
-0.07276116 
-0.00917326 
-0.02069089 
-0.00416232 
-0.07225855 
-0.02654577 
-0.06131410 
-0.09380202 
0.057414014 
-0.05239976 
0.014397612 
0.016145161 
-0.00670587 
0.018696335 
0.036943654 
-0.02450233 
0.031161705 
0.006513503 
-0.02892329 
-0.00831519 
-0.00877744 
-0.00634399 
-0.02612019 
-0.02531800 
-0.01435533 
0.011148840 
-0.01893775 
0.029859128 
0.029878797 
-0.00125987 
0.031404385 
0.035127606 
-0.00191775 
0.059797202 
-0.03268047 
-0.06026960 
-0.02216465 
-0.08145612 
-0.02772806 
-0.03171683 
-0.02842562 
-0.11807898 
-0.01457311 
-0.12612482 
0.409631265 
-0.06375234 

if i have 200 such t variable (which have time observations ranging from
100-400) & want to select best model,how should i select it?

--
View this message in context:
http://r.789695.n4.nabble.com/how-to-calculate-AIC-value-from-below-values-using-time-series-model-tp4472014p4472014.html
Sent from the R help mailing list archive at Nabble.com.