[R] "NA" in predict(...., prediction.interval=TRUE)

From: CCordeiro <cmhcordei_at_gmail.com>
Date: Tue, 11 Nov 2008 07:26:18 -0800 (PST)

Dear Rlist,

In my work I frequently use functions: HoltWinters() and predict(). Last week I have installed R 2.8.0 and a problem occurs:

# the data
serie<-ts(c(3128,3444,3428,3803,3044,3427,3246,3505,3052,3613,3555,3675,3267,3601,3501,3855), frequency = 4, start = c(1987, 1),end=c(1990,4)) serie

Qtr1 Qtr2 Qtr3 Qtr4
1987 3128 3444 3428 3803
1988 3044 3427 3246 3505
1989 3052 3613 3555 3675
1990 3267 3601 3501 3855

# the "best" fitting using SSE
HoltWinters(serie)
SSE
[1] 240906
HoltWinters(serie,seasonal="mult")
SSE
[1] 225655.1

b<-HoltWinters(serie,seasonal="mult")
Holt-Winters exponential smoothing without trend and with multiplicative seasonal component.
Call:
HoltWinters(x = serie, seasonal = "mult")

Smoothing parameters:

``` alpha:  0.5890718
beta :  0
gamma:  0.6025223

Coefficients:
[,1]
a  3564.1438607
s1    0.9101603
s2    1.0233106
```

s3 0.9911003
s4 1.0788724

# the prediction

fit upr lwr

```1991 Q1 3243.942 3478.588 3009.297
1991 Q2 3647.226 3931.234 3363.218
1991 Q3 3532.424 3875.554 3189.294
1991 Q4 3845.256       NA       NA
1992 Q1 3243.942 3689.217 2798.668
1992 Q2 3647.226 4112.756 3181.696
1992 Q3 3532.424 4055.708 3009.141
1992 Q4 3845.256       NA       NA

```

###Problem: NA in prediction intervals

I have read about the changes in R 2.8.0 and unfortunately I did not have success.

Best regards,
Clara

> sessionInfo()

R version 2.8.0 (2008-10-20)
i386-pc-mingw32

locale:
LC_COLLATE=Portuguese_Portugal.1252;LC_CTYPE=Portuguese_Portugal.1252;LC_MONETARY=Portuguese_Portugal.1252;LC_NUMERIC=C;LC_TIME=Portuguese_Portugal.1252

```--
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