
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))
