blob: 59ac0dc8c8e58b45dd8c75cdb266d90144f01948 [file] [log] [blame]
freeny.x <-
structure(.Data = c(8.79636, 8.79236, 8.79137,
8.81486, 8.81301, 8.90751,
8.93673, 8.96161, 8.96044, 9.00868,
9.03049, 9.06906, 9.05871,
9.10698, 9.12685, 9.17096,
9.18665, 9.23823, 9.26487,
9.28436, 9.31378, 9.35025,
9.35835, 9.39767, 9.4215, 9.44223,
9.48721, 9.52374, 9.5398,
9.58123, 9.60048, 9.64496,
9.6439, 9.69405, 9.69958,
9.68683, 9.71774, 9.74924,
9.77536, 4.70997, 4.70217,
4.68944, 4.68558, 4.64019,
4.62553, 4.61991, 4.61654, 4.61407,
4.60766, 4.60227, 4.5896, 4.57592,
4.58661, 4.57997, 4.57176,
4.56104, 4.54906, 4.53957,
4.51018, 4.50352, 4.4936, 4.46505,
4.44924, 4.43966, 4.42025,
4.4106, 4.41151, 4.3981,
4.38513, 4.3732, 4.3277,
4.32023, 4.30909, 4.30909,
4.30552, 4.29627, 4.27839,
4.27789, 5.8211, 5.82558,
5.83112, 5.84046, 5.85036,
5.86464, 5.87769, 5.89763,
5.92574, 5.94232, 5.95365,
5.9612, 5.97805, 6.00377,
6.02829, 6.03475, 6.03906,
6.05046, 6.05563, 6.06093,
6.07103, 6.08018, 6.08858,
6.10199, 6.11207, 6.11596,
6.12129, 6.122, 6.13119,
6.14705, 6.15336, 6.15627,
6.16274, 6.17369, 6.16135,
6.18231, 6.18768, 6.19377,
6.2003, 12.9699, 12.9733, 12.9774,
12.9806, 12.9831, 12.9854, 12.99, 12.9943,
12.9992, 13.0033, 13.0099, 13.0159, 13.0212, 13.0265,
13.0351, 13.0429, 13.0497, 13.0551, 13.0634,
13.0693, 13.0737, 13.077, 13.0849,
13.0918, 13.095, 13.0984, 13.1089,
13.1169, 13.1222, 13.1266, 13.1356,
13.1415, 13.1444, 13.1459,
13.152, 13.1593, 13.1579, 13.1625, 13.1664),
dim = c(39, 4),
dimnames = list(character(0),
c("lag quarterly revenue", "price index",
"income level", "market potential"))
)
freeny.y <-
stats::ts(c(8.79236, 8.79137, 8.81486,
8.81301, 8.90751, 8.93673,
8.96161, 8.96044, 9.00868, 9.03049,
9.06906, 9.05871, 9.10698,
9.12685, 9.17096, 9.18665,
9.23823, 9.26487, 9.28436,
9.31378, 9.35025, 9.35835,
9.39767, 9.4215, 9.44223, 9.48721,
9.52374, 9.5398, 9.58123,
9.60048, 9.64496, 9.6439,
9.69405, 9.69958, 9.68683,
9.71774, 9.74924, 9.77536,
9.79424),
1962.25, 1971.75, 4)
##-- This gives a data.frame which sometimes [str(..)] behaves horribly :
freeny <- data.frame(y = freeny.y, freeny.x, row.names = stats::time(freeny.y))