[R] reshape from wide to long, ordering of "varying"

[stefan.duke at gmail.com]

Hello,
I have data in the following form

      age sex Int.Prev.Est.1 Int.Prev.Est.2 Int.Prev.Est.3
Int.Prev.Est.4 Int.Prev.Est.5
93110  93   0       23.75482       57.86592       9.755003
4.343534       4.280714
93610  93   1       53.36475       39.47247       4.381618
1.622119       1.159044
94110  94   0       23.47514       58.23936      10.789339
3.690415       3.805741
94610  94   1       53.34524       39.32675       4.602774
1.520247       1.204988
95110  95   0       23.76256       58.18757       9.583178
4.186825       4.279866
95610  95   1       53.14037       39.55376       4.313944
1.632805       1.359124

and want to get it in the form:

age sex cat  Int.Prev.Est
93   0     1   23.75482
93   0     2   57.86592
93   0     3   9.755003
93   0     4   4.343534
(....)
95   1    4    1.632805
95   1   5      1.359124


I am getting close with reshape, but somehow the categorie varialbe is
orderd 1...1, 2...2,3...3,4...4,5....5 instad as 1,2,3,4,5,1,2,3....

reshape(UK.INT,  idvar=1:2,    times=1:5, varying=c("Int.Prev.Est.1",
"Int.Prev.Est.2", "Int.Prev.Est.3", "Int.Prev.Est.4",
"Int.Prev.Est.5"),v.names='cat', direction="long") #


Here is some example data

dput(tail(UK.INT))

structure(list(age = c(93, 93, 94, 94, 95, 95), sex = c(0, 1,
0, 1, 0, 1), Int.Prev.Est.1 = c(2647L, 19706L, 1832L, 15229L,
1277L, 11456L), Int.Prev.Est.2 = c(6448L, 14576L, 4545L, 11227L,
3127L, 8527L), Int.Prev.Est.3 = c(1087L, 1618L, 842L, 1314L,
515L, 930L), Int.Prev.Est.4 = c(484L, 599L, 288L, 434L, 225L,
352L), Int.Prev.Est.5 = c(477L, 428L, 297L, 344L, 230L, 293L)), .Names
= c("age",
"sex", "Int.Prev.Est.1", "Int.Prev.Est.2", "Int.Prev.Est.3",
"Int.Prev.Est.4", "Int.Prev.Est.5"), row.names = c("93110", "93610",
"94110", "94610", "95110", "95610"), class = "data.frame")

I am wondering whether this is really feasible with reshape. Thanks
for any hint.
Best,
stefan