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Rev 81437 Rev 81440
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		c("lag quarterly revenue", "price index",
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		c("lag quarterly revenue", "price index",
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		  "income level", "market potential"))
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		  "income level", "market potential"))
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	    )
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	    )
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freeny.y <-
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freeny.y <-
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  structure(.Data = c(8.79236, 8.79137, 8.81486,
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  stats::ts(c(8.79236, 8.79137, 8.81486,
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		8.81301, 8.90751, 8.93673,
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              8.81301, 8.90751, 8.93673,
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		8.96161, 8.96044, 9.00868, 9.03049,
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              8.96161, 8.96044, 9.00868, 9.03049,
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		9.06906, 9.05871, 9.10698,
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              9.06906, 9.05871, 9.10698,
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		9.12685, 9.17096, 9.18665,
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              9.12685, 9.17096, 9.18665,
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		9.23823, 9.26487, 9.28436,
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              9.23823, 9.26487, 9.28436,
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		9.31378, 9.35025, 9.35835,
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              9.31378, 9.35025, 9.35835,
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		9.39767, 9.4215, 9.44223, 9.48721,
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              9.39767, 9.4215, 9.44223, 9.48721,
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		9.52374, 9.5398, 9.58123,
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              9.52374, 9.5398, 9.58123,
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		9.60048, 9.64496, 9.6439,
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              9.60048, 9.64496, 9.6439,
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		9.69405, 9.69958, 9.68683,
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              9.69405, 9.69958, 9.68683,
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		9.71774, 9.74924, 9.77536,
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              9.71774, 9.74924, 9.77536,
- 
 
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              9.79424),
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		9.79424), tsp = c(1962.25, 1971.75, 4), class="ts")
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            1962.25, 1971.75, 4)
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##-- This gives a data.frame which sometimes [str(..)] behaves horribly :
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##-- This gives a data.frame which sometimes [str(..)] behaves horribly :
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freeny <- data.frame(y = freeny.y, freeny.x, row.names = stats::time(freeny.y))
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freeny <- data.frame(y = freeny.y, freeny.x, row.names = stats::time(freeny.y))