Wechselkurse <-
structure(list(Time = structure(c(5L, 4L, 8L, 1L, 9L, 7L, 6L, 
2L, 12L, 11L, 10L, 3L, 17L, 16L, 20L, 13L, 21L, 19L, 18L, 14L, 
24L, 23L, 22L, 15L, 29L, 28L, 32L, 25L, 33L, 31L, 30L, 26L, 36L, 
35L, 34L, 27L, 41L, 40L, 44L, 37L, 45L, 43L, 42L, 38L, 48L, 47L, 
46L, 39L, 53L, 52L, 56L, 49L, 57L, 55L, 54L, 50L, 60L, 59L, 58L, 
51L, 65L, 64L, 68L, 61L, 69L, 67L, 66L, 62L, 72L, 71L, 70L, 63L, 
77L, 76L, 80L, 73L, 81L, 79L, 78L, 74L, 84L, 83L, 82L, 75L, 89L, 
88L, 92L, 85L, 93L, 91L, 90L, 86L, 96L, 95L, 94L, 87L, 101L, 
100L, 104L, 97L, 105L, 103L, 102L, 98L, 108L, 107L, 106L, 99L, 
113L, 112L, 116L, 109L, 117L, 115L, 114L, 110L, 120L, 119L, 118L, 
111L), .Label = c("2004Apr", "2004Aug", "2004Dec", "2004Feb", 
"2004Jan", "2004Jul", "2004Jun", "2004Mar", "2004May", "2004Nov", 
"2004Oct", "2004Sep", "2005Apr", "2005Aug", "2005Dec", "2005Feb", 
"2005Jan", "2005Jul", "2005Jun", "2005Mar", "2005May", "2005Nov", 
"2005Oct", "2005Sep", "2006Apr", "2006Aug", "2006Dec", "2006Feb", 
"2006Jan", "2006Jul", "2006Jun", "2006Mar", "2006May", "2006Nov", 
"2006Oct", "2006Sep", "2007Apr", "2007Aug", "2007Dec", "2007Feb", 
"2007Jan", "2007Jul", "2007Jun", "2007Mar", "2007May", "2007Nov", 
"2007Oct", "2007Sep", "2008Apr", "2008Aug", "2008Dec", "2008Feb", 
"2008Jan", "2008Jul", "2008Jun", "2008Mar", "2008May", "2008Nov", 
"2008Oct", "2008Sep", "2009Apr", "2009Aug", "2009Dec", "2009Feb", 
"2009Jan", "2009Jul", "2009Jun", "2009Mar", "2009May", "2009Nov", 
"2009Oct", "2009Sep", "2010Apr", "2010Aug", "2010Dec", "2010Feb", 
"2010Jan", "2010Jul", "2010Jun", "2010Mar", "2010May", "2010Nov", 
"2010Oct", "2010Sep", "2011Apr", "2011Aug", "2011Dec", "2011Feb", 
"2011Jan", "2011Jul", "2011Jun", "2011Mar", "2011May", "2011Nov", 
"2011Oct", "2011Sep", "2012Apr", "2012Aug", "2012Dec", "2012Feb", 
"2012Jan", "2012Jul", "2012Jun", "2012Mar", "2012May", "2012Nov", 
"2012Oct", "2012Sep", "2013Apr", "2013Aug", "2013Dec", "2013Feb", 
"2013Jan", "2013Jul", "2013Jun", "2013Mar", "2013May", "2013Nov", 
"2013Oct", "2013Sep"), class = "factor"), SwissFranc = c(1.5657, 
1.5734, 1.567, 1.5547, 1.54, 1.5192, 1.527, 1.5387, 1.5431, 1.5426, 
1.5216, 1.5364, 1.5469, 1.5501, 1.5494, 1.5475, 1.5449, 1.5391, 
1.5578, 1.5528, 1.5496, 1.549, 1.5449, 1.5479, 1.5494, 1.558, 
1.5691, 1.5748, 1.5564, 1.5601, 1.5687, 1.5775, 1.5841, 1.5898, 
1.5922, 1.5969, 1.6155, 1.6212, 1.6124, 1.6375, 1.6506, 1.6543, 
1.6567, 1.6383, 1.6475, 1.6706, 1.6485, 1.6592, 1.6203, 1.608, 
1.572, 1.5964, 1.6247, 1.6139, 1.6193, 1.6212, 1.5942, 1.5194, 
1.5162, 1.5393, 1.4935, 1.4904, 1.5083, 1.5147, 1.5118, 1.5148, 
1.5202, 1.5236, 1.5148, 1.5138, 1.5105, 1.5021, 1.4765, 1.4671, 
1.4482, 1.4337, 1.4181, 1.3767, 1.346, 1.3413, 1.3089, 1.3452, 
1.3442, 1.2811, 1.2779, 1.2974, 1.2867, 1.2977, 1.2537, 1.2092, 
1.1766, 1.1203, 1.2005, 1.2295, 1.2307, 1.2276, 1.2108, 1.2071, 
1.2061, 1.2023, 1.2012, 1.2011, 1.2011, 1.2011, 1.2089, 1.2098, 
1.2052, 1.2091, 1.2288, 1.2298, 1.2266, 1.2199, 1.2418, 1.2322, 
1.2366, 1.2338, 1.2338, 1.2316, 1.2316, 1.2245), Yuan = c(10.4399, 
10.4675, 10.149, 9.9163, 9.9268, 10.0529, 10.1622, 10.083, 10.1134, 
10.3423, 10.7536, 11.0967, 10.8588, 10.7719, 10.9262, 10.708, 
10.5062, 10.0683, 9.8954, 9.9589, 9.9177, 9.7189, 9.5273, 9.5746, 
9.763, 9.6117, 9.6581, 9.8361, 10.2353, 10.1285, 10.1347, 10.2141, 
10.0971, 9.9651, 10.1286, 10.3356, 10.1238, 10.1326, 10.2467, 
10.44, 10.3689, 10.2415, 10.3899, 10.3162, 10.4533, 10.6741, 
10.8957, 10.7404, 10.6568, 10.5682, 10.9833, 11.0237, 10.8462, 
10.7287, 10.7809, 10.2609, 9.8252, 9.1071, 8.695, 9.2205, 9.0496, 
8.7406, 8.921, 9.011, 9.3157, 9.5786, 9.6246, 9.7485, 9.9431, 
10.1152, 10.1827, 9.9777, 9.7436, 9.3462, 9.2623, 9.1505, 8.5794, 
8.3245, 8.6538, 8.752, 8.8104, 9.2665, 9.0895, 8.7873, 8.8154, 
8.9842, 9.1902, 9.4274, 9.3198, 9.3161, 9.2121, 9.1857, 8.7994, 
8.7308, 8.6154, 8.3563, 8.1465, 8.3314, 8.3326, 8.2921, 8.0806, 
7.9676, 7.8288, 7.8864, 8.1273, 8.139, 7.9998, 8.1809, 8.2698, 
8.3282, 8.0599, 8.0564, 7.9715, 8.0905, 8.0234, 8.1477, 8.169, 
8.3226, 8.2221, 8.3248), Pound = c(0.69215, 0.6769, 0.67124, 
0.66533, 0.67157, 0.66428, 0.66576, 0.66942, 0.6813, 0.69144, 
0.69862, 0.695, 0.69867, 0.68968, 0.69233, 0.68293, 0.68399, 
0.66895, 0.68756, 0.68527, 0.6776, 0.68137, 0.67933, 0.67922, 
0.68598, 0.68297, 0.68935, 0.69463, 0.6833, 0.68666, 0.68782, 
0.67669, 0.67511, 0.67254, 0.67397, 0.67286, 0.66341, 0.668, 
0.68021, 0.67934, 0.68136, 0.67562, 0.6744, 0.67766, 0.68887, 
0.69614, 0.70896, 0.72064, 0.74725, 0.75094, 0.77494, 0.79487, 
0.79209, 0.79152, 0.79308, 0.79279, 0.79924, 0.78668, 0.83063, 
0.90448, 0.91819, 0.88691, 0.91966, 0.89756, 0.88445, 0.8567, 
0.86092, 0.86265, 0.89135, 0.91557, 0.89892, 0.89972, 0.88305, 
0.87604, 0.9016, 0.87456, 0.85714, 0.82771, 0.83566, 0.82363, 
0.83987, 0.87638, 0.8551, 0.84813, 0.84712, 0.84635, 0.86653, 
0.88291, 0.87788, 0.88745, 0.88476, 0.87668, 0.87172, 0.87036, 
0.8574, 0.84405, 0.8321, 0.83696, 0.83448, 0.82188, 0.80371, 
0.80579, 0.78827, 0.78884, 0.79821, 0.80665, 0.80389, 0.81237, 
0.83271, 0.8625, 0.85996, 0.85076, 0.84914, 0.85191, 0.86192, 
0.85904, 0.84171, 0.8472, 0.8378, 0.83639), Yen = c(134.13, 134.78, 
133.13, 129.08, 134.48, 132.86, 134.08, 134.54, 134.51, 135.97, 
136.09, 139.14, 135.63, 136.55, 138.83, 138.84, 135.37, 132.22, 
134.75, 135.98, 136.06, 138.05, 139.59, 140.58, 139.81, 140.77, 
140.96, 143.59, 142.7, 145.11, 146.7, 148.53, 148.99, 149.65, 
151.11, 154.82, 156.56, 157.6, 155.24, 160.68, 163.22, 164.55, 
166.76, 159.05, 159.82, 164.95, 162.89, 163.55, 158.68, 157.97, 
156.59, 161.56, 162.31, 166.26, 168.45, 163.63, 153.2, 133.52, 
123.28, 122.51, 119.73, 118.3, 127.65, 130.25, 131.85, 135.39, 
133.09, 135.31, 133.14, 133.91, 132.97, 131.21, 130.34, 123.46, 
123.03, 125.33, 115.83, 110.99, 111.73, 110.04, 110.26, 113.67, 
112.69, 110.11, 110.38, 112.77, 114.4, 120.42, 116.47, 115.75, 
113.26, 110.43, 105.75, 105.06, 105.02, 102.55, 99.33, 103.77, 
108.88, 107, 101.97, 99.26, 97.07, 97.58, 100.49, 102.47, 103.94, 
109.71, 118.34, 124.4, 122.99, 127.54, 131.13, 128.39, 130.39, 
130.34, 132.41, 133.32, 134.97, 141.68), Rouble = c(36.3566, 
36.068, 34.9881, 34.4389, 34.8016, 35.2408, 35.6777, 35.5859, 
35.7002, 36.3001, 37.1185, 37.4162, 36.6704, 36.391, 36.4789, 
35.9794, 35.473, 34.6951, 34.5513, 35.0119, 34.775, 34.3262, 
33.9184, 34.1538, 34.3284, 33.6802, 33.4973, 33.7987, 34.5386, 
34.1587, 34.1393, 34.2755, 34.0549, 33.8849, 34.2602, 34.7316, 
34.4578, 34.406, 34.568, 34.9054, 34.8999, 34.7739, 35.0292, 
34.9211, 35.1723, 35.4008, 35.9174, 35.7927, 36.03, 36.1357, 
36.8259, 37.0494, 36.9042, 36.7723, 36.8261, 36.2502, 36.3727, 
35.2144, 34.7964, 37.8999, 42.3282, 45.8079, 45.1451, 44.2135, 
43.5678, 43.5552, 44.3881, 45.1972, 44.7624, 43.6188, 43.1835, 
43.9019, 42.5749, 41.2845, 40.1219, 39.1335, 38.2707, 38.1507, 
39.1317, 39.1898, 40.2564, 42.1471, 42.336, 40.7385, 40.2557, 
39.9469, 39.8061, 40.5363, 40.0573, 40.267, 39.8343, 41.2954, 
42.3239, 42.8569, 41.8082, 41.5686, 40.4394, 39.4232, 38.7804, 
38.8087, 39.5585, 41.1766, 39.9467, 39.6334, 40.4006, 40.3558, 
40.2505, 40.3114, 40.1847, 40.3342, 39.9332, 40.7995, 40.6842, 
42.649, 42.859, 43.9748, 43.5144, 43.744, 44.1581, 45.0628), 
    Dollar = c(1.2613, 1.2646, 1.2262, 1.1985, 1.2007, 1.2138, 
    1.2266, 1.2176, 1.2218, 1.249, 1.2991, 1.3408, 1.3119, 1.3014, 
    1.3201, 1.2938, 1.2694, 1.2165, 1.2037, 1.2292, 1.2256, 1.2015, 
    1.1786, 1.1856, 1.2103, 1.1938, 1.202, 1.2271, 1.277, 1.265, 
    1.2684, 1.2811, 1.2727, 1.2611, 1.2881, 1.3213, 1.2999, 1.3074, 
    1.3242, 1.3516, 1.3511, 1.3419, 1.3716, 1.3622, 1.3896, 1.4227, 
    1.4684, 1.457, 1.4718, 1.4748, 1.5527, 1.5751, 1.5557, 1.5553, 
    1.577, 1.4975, 1.437, 1.3322, 1.2732, 1.3449, 1.3239, 1.2785, 
    1.305, 1.319, 1.365, 1.4016, 1.4088, 1.4268, 1.4562, 1.4816, 
    1.4914, 1.4614, 1.4272, 1.3686, 1.3569, 1.3406, 1.2565, 1.2209, 
    1.277, 1.2894, 1.3067, 1.3898, 1.3661, 1.322, 1.336, 1.3649, 
    1.3999, 1.4442, 1.4349, 1.4388, 1.4264, 1.4343, 1.377, 1.3706, 
    1.3556, 1.3179, 1.2905, 1.3224, 1.3201, 1.3162, 1.2789, 1.2526, 
    1.2288, 1.24, 1.2856, 1.2974, 1.2828, 1.3119, 1.3288, 1.3359, 
    1.2964, 1.3026, 1.2982, 1.3189, 1.308, 1.331, 1.3348, 1.3635, 
    1.3493, 1.3704)), .Names = c("Time", "SwissFranc", "Yuan", 
"Pound", "Yen", "Rouble", "Dollar"), row.names = c(120L, 119L, 
118L, 117L, 116L, 115L, 114L, 113L, 112L, 111L, 110L, 109L, 108L, 
107L, 106L, 105L, 104L, 103L, 102L, 101L, 100L, 99L, 98L, 97L, 
96L, 95L, 94L, 93L, 92L, 91L, 90L, 89L, 88L, 87L, 86L, 85L, 84L, 
83L, 82L, 81L, 80L, 79L, 78L, 77L, 76L, 75L, 74L, 73L, 72L, 71L, 
70L, 69L, 68L, 67L, 66L, 65L, 64L, 63L, 62L, 61L, 60L, 59L, 58L, 
57L, 56L, 55L, 54L, 53L, 52L, 51L, 50L, 49L, 48L, 47L, 46L, 45L, 
44L, 43L, 42L, 41L, 40L, 39L, 38L, 37L, 36L, 35L, 34L, 33L, 32L, 
31L, 30L, 29L, 28L, 27L, 26L, 25L, 24L, 23L, 22L, 21L, 20L, 19L, 
18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 
5L, 4L, 3L, 2L, 1L), class = "data.frame")