time series - How to get fitted values from ar() method model in R -

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i want retrieve fitted values ar() function output model in r. when using arima() method, them using fitted(model.object) function, cannot find equivalent ar().

it not store fitted vector have residuals. example of using residuals ar-object reconstruct predictions original data:

 data(wwwusage)  arf <- ar(wwwusage) str(arf) #==================== list of 14  $ order       : int 3  $ ar          : num [1:3] 1.175 -0.0788 -0.1544  $ var.pred    : num 117  $ x.mean      : num 137  $ aic         : named num [1:21] 258.822 5.787 0.413 0 0.545 ...   ..- attr(*, "names")= chr [1:21] "0" "1" "2" "3" ...  $ n.used      : int 100  $ order.max   : num 20  $ partialacf  : num [1:20, 1, 1] 0.9602 -0.2666 -0.1544 -0.1202 -0.0715 ...  $ resid       : time-series [1:100] 1 100: na na na -2.65 -4.19 ...  $ method      : chr "yule-walker"  $ series      : chr "wwwusage"  $ frequency   : num 1  $ call        : language ar(x = wwwusage)  $ asy.var.coef: num [1:3, 1:3] 0.01017 -0.01237 0.00271 -0.01237 0.02449 ...  - attr(*, "class")= chr "ar" #===================  str(wwwusage) # time-series [1:100] 1 100: 88 84 85 85 84 85 83 85 88 89 ... png(); plot(wwwusage) lines(seq(wwwusage),wwwusage - arf$resid, col="red"); dev.off()

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