"LifeCycleSavings" <-
structure(list(sr = c(11.43, 12.07, 13.17, 5.75, 12.88, 8.79, 0.6, 11.9, 
4.98, 10.78, 16.85, 3.59, 11.24, 12.64, 12.55, 10.67, 3.01, 7.7, 1.27, 
9, 11.34, 14.28, 21.1, 3.98, 10.35, 15.48, 10.25, 14.65, 10.67, 7.3, 4.44, 
2.02, 12.7, 12.78, 12.49, 11.14, 13.3, 11.77, 6.86, 14.13, 5.13, 2.81, 
7.81, 7.56, 9.22, 18.56, 7.72, 9.24, 8.89, 4.71), pop15 = c(29.35, 23.32, 
23.8, 41.89, 42.19, 31.72, 39.74, 44.75, 46.64, 47.64, 24.42, 46.31, 27.84, 
25.06, 23.31, 25.62, 46.05, 47.32, 34.03, 41.31, 31.16, 24.52, 27.01, 41.74, 
21.8, 32.54, 25.95, 24.71, 32.61, 45.04, 43.56, 41.18, 44.19, 46.26, 28.96, 
31.94, 31.92, 27.74, 21.44, 23.49, 43.42, 46.12, 23.27, 29.81, 46.4, 45.25, 
41.12, 28.13, 43.69, 47.2), pop75 = c(2.87, 4.41, 4.43, 1.67, 0.83, 2.85, 
1.34, 0.67, 1.06, 1.14, 3.93, 1.19, 2.37, 4.7, 3.35, 3.1, 0.87, 0.58, 3.08, 
0.96, 4.19, 3.48, 1.91, 0.91, 3.73, 2.47, 3.67, 3.25, 3.17, 1.21, 1.2, 
1.05, 1.28, 1.12, 2.85, 2.28, 1.52, 2.87, 4.54, 3.73, 1.08, 1.21, 4.46, 
3.43, 0.9, 0.56, 1.73, 2.72, 2.07, 0.66), dpi = c(2329.68, 1507.99, 2108.47, 
189.13, 728.47, 2982.88, 662.86, 289.52, 276.65, 471.24, 2496.53, 287.77, 
1681.25, 2213.82, 2457.12, 870.85, 289.71, 232.44, 1900.1, 88.94, 1139.95, 
1390, 1257.28, 207.68, 2449.39, 601.05, 2231.03, 1740.7, 1487.52, 325.54, 
568.56, 220.56, 400.06, 152.01, 579.51, 651.11, 250.96, 768.79, 3299.49, 
2630.96, 389.66, 249.87, 1813.93, 4001.89, 813.39, 138.33, 380.47, 766.54, 
123.58, 242.69), ddpi = c(2.87, 3.93, 3.82, 0.22, 4.56, 2.43, 2.67, 6.51, 
3.08, 2.8, 3.99, 2.19, 4.32, 4.52, 3.44, 6.28, 1.48, 3.19, 1.12, 1.54, 
2.99, 3.54, 8.21, 5.81, 1.57, 8.12, 3.62, 7.66, 1.76, 2.48, 3.61, 1.03, 
0.67, 2, 7.48, 2.19, 2, 4.35, 3.01, 2.7, 2.96, 1.13, 2.01, 2.45, 0.53, 
5.14, 10.23, 1.88, 16.71, 5.08)), row.names = c("Australia", "Austria", 
"Belgium", "Bolivia", "Brazil", "Canada", "Chile", "China", "Colombia", 
"Costa Rica", "Denmark", "Ecuador", "Finland", "France", "Germany", "Greece", 
"Guatamala", "Honduras", "Iceland", "India", "Ireland", "Italy", "Japan", 
"Korea", "Luxembourg", "Malta", "Norway", "Netherlands", "New Zealand", 
"Nicaragua", "Panama", "Paraguay", "Peru", "Philippines", "Portugal",
"South Africa", "South Rhodesia", "Spain", "Sweden", "Switzerland",
"Turkey", "Tunisia", "United Kingdom", "United States", "Venezuela",
"Zambia", "Jamaica", "Uruguay", "Libya", "Malaysia"), class = "data.frame")