UNO <- structure(list(Country = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 77L, 103L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 132L, 41L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 117L, 118L, 119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 133L, 137L, 134L, 135L, 136L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L, 167L, 116L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 104L, 177L, 178L, 179L, 180L, 181L, 182L, 183L, 184L, 185L, 186L, 187L, 188L, 189L, 190L, 191L, 192L, 193L, 194L, 195L, 196L, 197L, 198L, 199L), .Label = c("Afghanistan", "Albania", "Algeria", "Angola", "Anguilla", "Argentina", "Armenia", "Aruba", "Australia", "Austria", "Azerbaijan", "Bahamas", "Bahrain", "Bangladesh", "Barbados", "Belarus", "Belgium", "Belize", "Benin", "Bermuda", "Bhutan", "Bolivia", "BosniaandHerzegovina", "Botswana", "Brazil", "Brunei", "Bulgaria", "BurkinaFaso", "Burundi", "Cambodia", "Cameroon", "Canada", "CapeVerde", "CaymanIslands", "CentralAfricanRepublic", "Chad", "Chile", "China", "Colombia", "Comoros", "Congo", "CookIslands", "CostaRica", "CôtedIvoire", "Croatia", "Cuba", "Cyprus", "CzechRepublic", "Denmark", "Djibouti", "Dominica", "DominicanRepublic", "Ecuador", "Egypt", "ElSalvador", "EquatorialGuinea", "Eritrea", "Estonia", "Ethiopia", "Fiji", "Finland", "France", "FrenchPolynesia", "Gabon", "Gambia", "Georgia", "Germany", "Ghana", "Greece", "Greenland", "Guatemala", "Guinea", "GuineaBissau", "Guyana", "Haiti", "Honduras", "HongKong", "Hungary", "Iceland", "India", "Indonesia", "Iran", "Iraq", "Ireland", "Israel", "Italy", "Jamaica", "Japan", "Jordan", "Kazakhstan", "Kenya", "Kiribati", "Kuwait", "Kyrgyzstan", "Laos", "Latvia", "Lebanon", "Lesotho", "Liberia", "Libya", "Lithuania", "Luxembourg", "Macau", "Macedonia", "Madagascar", "Malawi", "Malaysia", "Maldives", "Mali", "Malta", "MarshallIslands", "Mauritania", "Mauritius", "Mexico", "Micronesia", "Moldova", "Mongolia", "Montenegro", "Morocco", "Mozambique", "Myanmar", "Namibia", "Nauru", "Nepal", "Netherlands", "NetherlandsAntilles", "NewCaledonia", "NewZealand", "Nicaragua", "Niger", "Nigeria", "NorthKorea", "Norway", "Oman", "Pakistan", "Palau", "Palestinia", "Panama", "PapuaNewGuinea", "Paraguay", "Peru", "Philippines", "Poland", "Portugal", "PuertoRico", "Qatar", "Romania", "Russia", "Rwanda", "SaintKittsandNevis", "SaintLucia", "SaintVincentandtheGrenadines", "Samoa", "SanMarino", "SaoTomeandPrincipe", "SaudiArabia", "Senegal", "Serbia", "Seychelles", "SierraLeone", "Singapore", "Slovakia", "Slovenia", "SolomonIslands", "Somalia", "SouthAfrica", "SouthKorea", "Spain", "SriLanka", "Sudan", "Suriname", "Swaziland", "Sweden", "Switzerland", "Syria", "Tajikistan", "Thailand", "Timor-Leste", "Togo", "Tonga", "TrinidadandTobago", "Tunisia", "Turkey", "Turkmenistan", "TurksandCaicosIslands", "Tuvalu", "Uganda", "Ukraine", "UnitedArabEmirates", "UnitedKingdom", "UnitedStates", "Uruguay", "Uzbekistan", "Vanuatu", "Venezuela", "VietNam", "Yemen", "Zambia", "Zimbabwe"), class = "factor"), Population = c(33397.1, 3227.4, 36485.8, 20162.5, 16.7, 41119, 3109, 108.6, 22918.7, 8428.9, 9421.2, 351.3, 1359.5, 152408.8, 274.5, 9527.5, 10787.8, 324.3, 9351.8, 64.9, 750.4, 10248, 3744.2, 2053.2, 198360.9, 412.9, 7397.9, 17482, 8749.4, 14478.3, 20468.9, 34674.7, 505.3, 55, 4575.6, 11830.6, 17423.2, 1353600.7, 7196.5, 567.4, 47550.7, 773.3, 4233.1, 15.6, 4793.7, 20594.6, 4387.4, 11249.3, 1129.2, 10565.7, 24553.7, 69575.4, 5592.7, 922.7, 71.3, 10183.3, 14865, 83958.4, 6264.1, 740.5, 5580.9, 1339.8, 86538.5, 875.8, 5402.6, 63457.8, 276.7, 1563.9, 1824.8, 4304.4, 81990.8, 25545.9, 11418.9, 56.7, 15137.6, 10480.7, 1579.6, 757.6, 10255.6, 7912, 9949.6, 328.3, 1258351, 244769.1, 75611.8, 33703.1, 4579.5, 7694.7, 60964.1, 2761.3, 126434.7, 6457.3, 16381.3, 42749.4, 102.7, 2891.6, 5448.1, 6373.9, 2234.6, 4291.7, 2216.9, 4244.7, 6469.5, 3292.5, 523.4, 21928.5, 15882.8, 29321.8, 324.3, 16318.9, 419.2, 55, 3623, 1313.8, 116146.8, 112.1, 2844.1, 632.8, 32598.5, 24475.2, 48724.4, 2364.4, 10.2, 31011.1, 16714.2, 204.5, 258.7, 4461.3, 5954.9, 16644.3, 166629.4, 4960.5, 4270.8, 2904, 179951.1, 20.6, 3625, 7170.1, 6682.9, 29733.8, 96471.5, 38317.1, 10699.3, 3743.4, 1938.8, 48588.3, 3519.3, 21387.5, 142703.2, 11271.8, 52, 177.8, 109.4, 184.8, 33.4, 171.9, 28705.1, 13107.9, 9846.6, 87.4, 6126.5, 5256.3, 5480.3, 2040.1, 566.5, 9797.4, 50738.3, 46771.6, 21223.6, 45722.1, 534.2, 1220.4, 9495.4, 7733.7, 21117.7, 7078.8, 2066.8, 69892.1, 1187.2, 6283.1, 104.9, 1351, 10704.9, 74508.8, 5169.7, 40.4, 11.2, 35621, 44940.3, 8105.9, 62798.1, 315791.3, 3391.4, 28077.5, 251.7, 29890.7, 89730.3, 25569.3, 13883.6, 13013.7), Growth = c(3.1, 0.3, 1.4, 2.7, 1.6, 0.9, 0.3, 0.3, 1.3, 0.2, 1.2, 1.1, 2.1, 1.3, 0.2, -0.3, 0.3, 2, 2.7, 0.2, 1.5, 1.6, -0.2, 1.1, 0.8, 1.7, -0.7, 3, 1.9, 1.2, 2.1, 0.9, 0.9, 0.8, 2, 2.6, 0.9, 0.4, 1, 2, 1.3, 2.5, 2.2, 0.5, 1.4, 2.2, -0.2, 0, 1.1, 0.3, 0.4, 2.6, 0.3, 1.9, 0, 1.2, 1.3, 1.7, 0.6, 2.7, 2.9, -0.1, 2.1, 0.8, 0.3, 0.5, 1, 1.9, 2.7, -0.6, -0.2, 2.3, 0.2, 0, 2.5, 2.5, 2.1, 0.2, 1.3, 2, -0.2, 1.2, 1.3, 1, 1, 3.1, 1.1, 1.7, 0.2, 0.4, -0.1, 1.9, 1, 2.7, 1.5, 2.4, 1.1, 1.3, -0.4, 0.7, 1, 2.6, 0.8, -0.4, 1.4, 2.8, 3.2, 1.6, 1.3, 3, 0.3, 1.6, 2.2, 0.5, 1.1, 0.5, 1.5, 0.1, 1, 2.2, 0.8, 1.7, 0.6, 1.7, 0.3, 0.7, 1.5, 1, 1.4, 3.5, 2.5, 0.7, 2.8, 1.9, 1.8, 0.8, 1.5, 2.2, 1.7, 1.1, 1.7, 0, 0, 0, 2.9, 0.4, -0.7, -0.2, -0.1, 2.9, 1.2, 1, 0, 0.5, 0.6, 2, 2.1, 2.6, -0.1, 0.3, 2.1, 1.1, 0.2, 0.2, 2.5, 2.6, 0.5, 0.6, 0.8, 2.4, 0.9, 1.4, 0.6, 0.4, 1.7, 1.5, 0.1, 0.5, 2.9, 2, 0.4, 0.3, 1, 1.1, 1.2, 1.2, 0.2, 3.1, -0.5, 2.2, 0.6, 0.9, 0.3, 1.1, 2.4, 1.5, 1, 3, 3, 2.2 ), Age = c(45.8, 21.5, 26.6, 45.9, 28, 24.4, 20.3, 18.3, 19, 14.3, 21.4, 21.8, 20.5, 30, 16.7, 15.3, 16.9, 33.8, 43.4, 17.3, 28.3, 35.2, 14.4, 32, 24.5, 25.6, 14.1, 45.2, 37.5, 30.7, 40.4, 16.3, 30.2, 18.1, 39.9, 45.2, 21.4, 18.8, 11, 12.8, 28, 42.6, 40.5, 26.8, 23.9, 40.3, 14.8, 16.5, 17.2, 14.3, 22, 45.8, 17.7, 35.1, 29.5, 30.4, 29.5, 31, 30.6, 39, 41.5, 15.9, 40.2, 28.8, 16.5, 18.4, 24.3, 34.6, 43.4, 16.5, 13.3, 38.2, 14.8, 22.2, 40.8, 42.6, 41, 31.3, 35.1, 35.7, 14.7, 20.7, 29.9, 26.4, 22.6, 42.6, 21.5, 27.4, 14.1, 28, 13.2, 36.1, 25.3, 42.4, 34.5, 26.6, 29.9, 32.9, 14.2, 23.7, 36.6, 43.5, 30.9, 14.8, 17.5, 42.4, 45.9, 29.5, 25.1, 47.1, 14.4, 41.3, 39.5, 20.9, 28.3, 35.6, 27.8, 19, 27.3, 43.7, 24.8, 35.5, 35.2, 34.8, 17.4, 19.9, 24.6, 20.4, 33.3, 48.9, 42.8, 18.5, 41.4, 27.1, 34.4, 19.7, 28.3, 38.4, 32.8, 29.1, 34.6, 14.7, 14.9, 20.5, 14.4, 15.6, 16.6, 15.2, 15.6, 43, 30.7, 25.1, 25.7, 36.9, 15.2, 39.4, 29.8, 43.3, 17.4, 22.4, 42.8, 16.2, 15, 14.1, 39.3, 44.9, 29.7, 15.3, 24.9, 39.5, 27.7, 37.5, 16.7, 15, 35.4, 36.1, 17, 19.8, 45.2, 38.9, 37.3, 20.5, 23.1, 25.6, 28.5, 28.6, 31.4, 48.3, 14.6, 16.8, 17.4, 20.1, 22.1, 28.5, 37.6, 28.8, 23, 43.8, 46.7, 37.6), GDP = c(585.6, 4042.3, 5523.4, 5318, 18407.8, 10994, 3270.1, 24752.9, 67039.1, 49686.1, 6813.2, 22431, 19512.3, 705.7, 15744.5, 5767.7, 47807.3, 4636.3, 801.6, 91779.7, 2335.9, 2374, 4807.1, 8532.7, 12593.9, 40300.8, 7186.8, 594.9, 272.9, 896.8, 1318.5, 50564.5, 3772.7, 57609.8, 489.3, 906.7, 14394.8, 5439.5, 34161.1, 65550.5, 7100, 809.2, 3198.3, 13478, 8675.8, 1195.9, 14217.4, 6106, 30523.4, 20606.7, 506.2, 237.2, 59580.7, 1417.3, 7321.8, 5512.4, 4526.2, 2801.4, 3702, 22408.7, 481.7, 16541.5, 357, 4390.5, 48887.3, 42641.9, 26289.9, 15737.7, 689.5, 3318.7, 43865, 1570.1, 26251.1, 42574.8, 3178, 543.8, 590.6, 3408, 664.9, 2249.8, 13918.5, 43240.3, 1528.5, 3494.6, 6976.5, 3757.8, 48835.9, 32122.9, 36124.1, 5359.7, 46407, 4556, 11503, 818.5, 1803.4, 57101.9, 1097.5, 1303.5, 12696.6, 9165.3, 1113.8, 277.9, 4884.7, 12962.2, 115377.3, 461.8, 387.9, 9977.2, 6405.1, 670.6, 21269.3, 3448.2, 1254.4, 8658.7, 10063.3, 2855, 3059.6, 7196.2, 3106.5, 535.9, 1144.5, 5439.3, 6954, 606.9, 50215.2, 20400.5, 38690.1, 36874.4, 1243.2, 397.1, 1509.4, 98564.7, 2111.7, 25536.2, 1181.7, 11096.2, 8590.1, 1794.5, 3484.9, 6138.3, 2369.5, 13423.7, 22225.8, 27097.9, 92682.2, 23067.1, 1974.8, 8852.9, 13006.4, 582.8, 13424.2, 7123.6, 6290.8, 3629.3, 64480.1, 1519.5, 21261.8, 1131.6, 5578.6, 11674.6, 483.1, 50087.3, 17545.5, 24709.3, 1517.6, 111.7, 8090.3, 31820.2, 2811.8, 1582.8, 8708.5, 3399, 57134, 85794.4, 3095.1, 934.9, 4925.3, 5318.1, 4828.8, 600.3, 4335.5, 16271.6, 4373.4, 10524, 5042.3, 24362.9, 3712.7, 558.4, 3656.7, 42921.5, 38918.4, 47882.5, 13819.4, 1641.1, 3167.8, 10731.2, 1392, 1269.9, 1426.3, 695.1), Expectation = c(49.5, 80.4, 75, 53.2, 81.1, 79.9, 77.3, 77.8, 84.3, 83.6, 73.7, 78.9, 76.1, 70.2, 80.3, 76.4, 82.8, 77.8, 58.7, 82.3, 69.8, 69.4, 78.4, 51.3, 77.4, 80.6, 77.1, 57, 52.6, 65.1, 53.6, 83.5, 77.7, 83.8, 51.3, 51.6, 82.4, 75.6, 86.4, 83.8, 77.7, 63.2, 59.3, 76.2, 82, 57.7, 80.4, 81.3, 82.1, 81, 72.1, 50.6, 81.4, 60, 78.2, 76.6, 78.9, 75.5, 77.1, 52.9, 64.4, 80, 61.6, 72.3, 83.3, 84.9, 78.1, 64.3, 60.3, 77.3, 83, 65.8, 82.6, 72.8, 75.1, 56.4, 50.4, 73.5, 63.9, 75.9, 78.5, 83.8, 67.6, 71.8, 75.3, 72.6, 83.2, 84.2, 84.6, 76, 87.1, 75.2, 72.8, 59.2, 63.1, 75.9, 72.4, 69.4, 78.5, 75.1, 48.1, 58.6, 77.9, 78.3, 82.7, 68.6, 55.2, 76.9, 78.7, 53.1, 82.3, 70.6, 61, 76.9, 79.6, 70.2, 72.8, 77.4, 74.9, 51.8, 67.9, 63, 57.1, 70.1, 82.8, 79.9, 80.5, 82.8, 77.5, 55.8, 53.4, 83.5, 74.8, 76.4, 66.9, 72.1, 79.1, 65.5, 74.9, 76.9, 72.6, 80.6, 82.8, 83.2, 78.2, 84, 73.5, 78, 75, 57.1, 70.7, 77.5, 74.7, 76, 84.6, 66.5, 75.6, 60.9, 77.1, 78.1, 48.9, 83.7, 79.5, 82.8, 70, 53.4, 54.1, 84.8, 78.4, 63.8, 74.2, 48.5, 83.7, 84.7, 77.7, 71.2, 77.1, 77.8, 64.2, 59.4, 75.4, 73.8, 77.1, 76.6, 69.4, 77.4, 65.1, 55.4, 74.6, 78, 82.4, 81.3, 80.7, 71.9, 73.6, 77.7, 77.4, 67.7, 50, 52.7)), .Names = c("Country", "Population", "Growth", "Age", "GDP", "Expectation"), row.names = c(NA, -200L ), class = "data.frame")