/usr/share/gretl/data/data6-5.gdt is in gretl-data 1.9.9-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | <?xml version="1.0"?>
<!DOCTYPE gretldata SYSTEM "gretldata.dtd">
<gretldata name="data6-5" frequency="1" startobs="1959" endobs="1989" type="time-series">
<description>
DATA6-5: This is time series data from 1959 to 1989 measuring Oregon's
Total Softwood harvest. All data are entered on a yearly basis.
Compiled by Anthony Hazen.
HARVEST = Total Softwood Timber harvested from Oregon in a given year.
Data are in billion board feet. (Range 5.1212 - 8.743)
EXPORTS = Volume of timber exports to foriegn destinations measured
in 100 million board feet. (1.469 - 13.874)
HOUSTART = Total housing starts in the U.S, in millions.
(Range 1.072 - 2.379)
INDPROD = Index of Industrial Production for paper and wood products.
(Range 4.75 - 15.57)
TIMBPRIC = Stumpage prices for the Pacific Northwest. Prices are
measured in dollars per 1000 board feet. (Range 2.48 - 43.22)
PRODPRIC = Producer Price Index for all commodities. (Range 3.16 - 10.87)
</description>
<variables count="6">
<variable name="HARVEST"
label="Total Softwood Timber harvested from Oregon"/>
<variable name="EXPORTS"
label="Volume of timber exports to foreign destinations"/>
<variable name="HOUSTART"
label="Total housing starts in the U.S, in millions"/>
<variable name="INDPROD"
label="Index of Industrial Production, paper and wood products"/>
<variable name="TIMBPRIC"
label="Stumpage prices for the Pacific Northwest"/>
<variable name="PRODPRIC"
label="Producer Price Index for all commodities"/>
</variables>
<observations count="31" labels="false">
<obs>5.1212 1.757 1.554 4.75 3.68 3.16 </obs>
<obs>5.1599 1.836 1.296 4.93 3.20 3.17 </obs>
<obs>5.6790 1.877 1.365 5.52 2.76 3.16 </obs>
<obs>6.3289 1.469 1.493 5.52 2.48 3.17 </obs>
<obs>6.7946 2.974 1.635 5.84 2.80 3.16 </obs>
<obs>7.7419 3.712 1.561 6.20 3.81 3.16 </obs>
<obs>8.0178 2.829 1.510 6.66 4.26 3.23 </obs>
<obs>7.8653 3.886 1.196 7.19 5.00 3.33 </obs>
<obs>7.7140 5.023 1.322 7.20 4.17 3.34 </obs>
<obs>7.4246 6.526 1.545 7.59 6.73 3.42 </obs>
<obs>7.8590 5.615 1.500 8.19 8.22 3.56 </obs>
<obs>7.1660 6.369 1.469 8.10 4.19 3.69 </obs>
<obs>8.0470 5.174 2.085 8.45 4.91 3.81 </obs>
<obs>8.4260 7.299 2.379 9.19 7.17 3.98 </obs>
<obs>8.3740 8.059 2.058 9.84 13.81 4.50 </obs>
<obs>7.5510 7.658 1.353 9.76 20.24 5.35 </obs>
<obs>7.1260 7.981 1.171 8.48 16.95 5.84 </obs>
<obs>7.9290 9.441 1.548 9.64 17.62 6.11 </obs>
<obs>8.1020 8.887 1.990 10.00 22.59 6.49 </obs>
<obs>8.0150 9.314 2.023 10.68 25.03 6.99 </obs>
<obs>7.6940 9.836 1.749 11.08 34.43 7.87 </obs>
<obs>6.6390 9.327 1.313 11.06 43.22 8.98 </obs>
<obs>5.6950 6.713 1.100 11.24 35.02 9.80 </obs>
<obs>5.7580 9.709 1.072 10.04 11.82 10.00 </obs>
<obs>7.4640 8.517 1.713 11.98 16.16 10.13 </obs>
<obs>7.5500 9.331 1.756 12.72 13.29 10.37 </obs>
<obs>8.1270 11.125 1.745 12.76 12.62 10.32 </obs>
<obs>8.7430 10.415 1.805 13.65 16.07 10.02 </obs>
<obs>8.2150 11.041 1.621 14.44 10.02 10.28 </obs>
<obs>8.6150 13.874 1.488 15.03 25.60 10.69 </obs>
<obs>8.1860 12.572 1.550 15.57 38.98 10.87 </obs>
</observations>
</gretldata>
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