OK Roland's answer let me to the solution and that is:
test <- structure(list(Series = c(88.3, 97.1, 110.2, 93.1, 104.7, 102.6,
94.8, 85.6, 103.8, 109.6, 111.4, 98.6, 102.5, 101.8, 113.6, 99,
104.6, 106, 99.2, 87.5, 101.6, 111.3, 106.9, 91.6, 99.4, 100.3,
108.3, 106.2, 104.1, 105.2, 103.9, 85.8, 107.5, 113.7, 110, 97,
101.6, 102.4, 112, 104.1, 103.3, 104.4, 106.1, 83.9, 112.2, 117.7,
110.2, 104.7, 101.8, 106.9, 123.3, 112.5, 108.7, 117.4, 109.3,
92.3, 118, 117.6, 121.3, 108, 106.5, 109.6, 121, 116.3, 114,
121.8, 109.9, 99.1, 124, 121.2, 128.2, 113.1, 117.5, 119.4, 139.9,
119.4, 131, 131.3, 117.1, 107.1, 128.7, 133.7, 134.6, 115.3,
126.3, 124.9, 140.5, 123.6, 129.9, 132.9, 127.6, 113.1, 130,
141.5, 139.4, 112.8, 132.5, 133.8, 132.7, 138.7, 128.5, 133.2,
130.8, 105.5, 134.4, 134.4, 118.3, 99.9, 102.8, 103.3, 113.8,
104.6, 101.4, 109.9, 109.9, 90.6, 118.1, 119.8, 115.8, 104.2,
104.3, 109.5, 128.7, 116.2, 115.2, 126.2, 116.9, 102.6, 127,
126.6, 129, 115.3, 115.8, 118.4, 137.3, 119.4, 128.1, 125.7,
117.1, 109.4, 130.3, 123.7, 127.9, 111.3, 117.1, 120.5, 132,
115.5, 123.3, 122.9, 118.3)), .Names = "Series", class = "data.frame", row.names = c(NA,
-151L))
Which is obtained by:
test <- dput(read.csv("http://dl.dropbox.com/u/9641130/R/eu27.csv", sep=',')[2])
Thanks!