tools/cvals_break_date_cset.R
In d9d6ka/RANEPA-R: Set of unit root and cointegration tests
.cval_break_date_cset <- list(
list(
list(
sup_all = matrix(
c(695.025, 230.321, 611.599, 446.265, 492.130,
369.181, 515.946, 423.522, -682.721, -215.312,
-594.541, -427.085, -476.967, -351.765, -496.675,
-402.336, -677.973, -216.055, -591.452, -425.746,
-474.993, -350.083, -493.984, -400.520, 614.214,
205.077, 543.605, 394.135, 439.066, 317.486,
451.864, 368.371, -359.150, -140.560, -332.187,
-247.654, -273.010, -192.033, -275.223, -230.669),
nrow = 5, ncol = 8),
avg_all = matrix(
c(-67.517, -4.742, 38.664, -44.795, -46.922,
-1.169, 36.556, 90.531, 70.655, 9.170,
-33.019, 51.692, 51.387, 6.836, -29.658,
-82.435, 69.984, 9.347, -32.545, 50.884,
50.572, 7.308, -29.493, -82.117, -60.633,
-7.170, 32.583, -39.274, -40.291, -4.427,
31.347, 80.290, 35.541, 7.592, -16.432,
20.054, 21.002, 5.001, -16.723, -44.961),
nrow = 5, ncol = 8),
exp_all = matrix(
c(2.798, -12.572, 53.978, 36.773, 40.067,
103.672, 156.828, 186.745, -0.123, 16.283,
-49.374, -31.246, -36.364, -99.066, -151.349,
-180.362, -0.384, 15.638, -49.078, -31.513,
-36.349, -97.902, -149.611, -179.484, 1.194,
-13.246, 44.108, 30.038, 32.965, 85.377,
131.562, 163.393, -2.076, 5.542, -26.456,
-21.076, -19.352, -45.650, -71.917, -95.791),
nrow = 5, ncol = 8)
),
list(
sup_all = matrix(
c(266.232, 63.571, 155.596, 182.708, 328.702,
334.786, 346.856, 257.698, -256.956, -54.017,
-145.772, -172.655, -315.765, -321.771, -333.813,
-244.557, -256.999, -54.097, -144.358, -170.615,
-313.389, -318.486, -329.606, -241.258, 242.167,
53.478, 131.757, 154.259, 287.581, 288.122,
292.281, 212.770, -153.729, -41.001, -79.626,
-91.230, -180.414, -175.235, -167.344, -121.852),
nrow = 5, ncol = 8),
avg_all = matrix(
c(-28.100, -87.289, -44.889, -31.668, -47.527,
26.397, 16.797, 15.562, 29.902, 89.059,
46.595, 33.348, 50.677, -23.232, -13.645,
-12.400, 29.896, 88.601, 46.847, 33.434,
50.875, -22.646, -12.646, -11.601, -29.054,
-81.589, -45.638, -32.429, -46.729, 19.992,
7.879, 7.609, 21.657, 48.817, 30.398,
21.538, 30.778, -7.188, 3.431, 2.434),
nrow = 5, ncol = 8),
exp_all = matrix(
c(14.082, 5.506, -32.751, -46.655, -42.071,
23.915, 76.243, 132.601, -12.478, -3.910,
34.351, 48.281, 44.739, -21.250, -73.595,
-129.919, -12.745, -3.912, 34.383, 48.052,
44.922, -20.306, -71.722, -128.177, 12.548,
3.865, -31.986, -43.875, -42.682, 15.507,
58.774, 111.877, -7.824, -2.851, 18.592,
24.749, 25.522, -7.076, -27.017, -58.853),
nrow = 5, ncol = 8)
),
list(
sup_all = matrix(
c(163.031, -70.596, 66.972, 335.274, 348.389,
451.206, -150.319, 83.405, -54.009, -320.020,
-333.177, -435.934, -150.468, 82.167, -54.751,
-318.772, -331.286, -433.120, 141.708, -67.818,
56.836, 297.613, 305.824, 397.958, -98.478,
18.275, -51.103, -192.373, -190.989, -243.560),
nrow = 5, ncol = 6),
avg_all = matrix(
c(-26.579, -74.864, -36.055, 48.859, 77.250,
5.872, 29.780, 78.035, 39.204, -44.417,
-72.837, -1.431, 29.494, 77.806, 39.254,
-43.858, -71.725, -1.230, -24.988, -70.867,
-36.294, 41.912, 65.283, 2.668, 15.644,
43.709, 24.280, -21.831, -32.141, 1.858),
nrow = 5, ncol = 6),
exp_all = matrix(
c(-23.472, -19.059, -61.708, 35.927, 32.331,
11.703, 26.227, 21.788, 64.464, -32.253,
-28.693, -8.058, 25.873, 22.148, 64.148,
-31.709, -27.888, -7.561, -23.011, -22.124,
-58.419, 27.280, 22.968, 5.399, 11.256,
13.606, 31.669, -14.855, -11.444, -2.367),
nrow = 5, ncol = 6)
),
list(
sup_all = matrix(
c(303.330, 152.064, 468.094, 205.131, -288.201,
-136.822, -450.681, -187.666, -285.274, -135.774,
-447.824, -186.945, 257.835, 125.711, 405.279,
170.669, -161.720, -90.329, -240.676, -109.431),
nrow = 5, ncol = 4),
avg_all = matrix(
c(-29.874, -27.280, 51.807, 75.889, 34.407,
31.809, -46.117, -70.191, 33.970, 31.594,
-45.555, -69.196, -28.169, -28.281, 44.600,
63.949, 17.654, 20.746, -24.737, -32.509),
nrow = 5, ncol = 4),
exp_all = matrix(
c(-68.448, -46.246, 73.477, 44.888, 72.220,
50.010, -68.866, -40.253, 71.937, 50.017,
-68.134, -39.931, -66.882, -47.770, 60.564,
35.440, 38.059, 28.225, -34.944, -20.800),
nrow = 5, ncol = 4)
),
list(
sup_all = matrix(
c(394.751, 385.532, -377.388, -366.242, -375.966,
-364.027, 346.640, 333.115, -217.638, -206.430),
nrow = 5, ncol = 2),
avg_all = matrix(
c(40.488, 64.721, -34.765, -57.822, -34.379,
-57.221, 33.773, 55.161, -16.021, -28.746),
nrow = 5, ncol = 2),
exp_all = matrix(
c(21.183, 132.675, -16.487, -127.162, -16.666,
-126.196, 15.812, 113.289, -11.680, -64.996),
nrow = 5, ncol = 2)
)
),
list(
list(
sup_all = matrix(
c(527.107, 194.143, 614.973, 295.263, 470.123,
304.997, 259.217, 328.062, -513.026, -177.273,
-596.134, -274.177, -453.083, -285.782, -238.126,
-304.848, -511.464, -180.072, -593.118, -274.051,
-451.868, -284.049, -236.043, -303.513, 469.267,
177.585, 546.530, 255.638, 414.827, 258.147,
214.645, 279.579, -280.410, -128.900, -335.239,
-166.605, -252.008, -161.675, -138.459, -178.937),
nrow = 5, ncol = 8),
avg_all = matrix(
c(-25.396, 14.564, -1.411, 13.688, 4.796,
-13.991, 105.999, 108.377, 29.043, -9.570,
7.700, -6.094, 0.249, 20.297, -98.391,
-99.491, 28.021, -8.879, 8.139, -6.433,
0.210, 21.355, -97.361, -99.343, -16.550,
10.989, -2.378, 15.951, 6.116, -17.640,
93.101, 99.859, 5.967, -2.758, 3.964,
-11.637, -2.391, 16.163, -47.740, -56.396),
nrow = 5, ncol = 8),
exp_all = matrix(
c(97.372, 102.603, 1.783, 129.459, 98.406,
99.830, 72.113, 11.858, -94.085, -98.245,
3.528, -123.203, -94.030, -94.459, -65.837,
-4.608, -93.667, -97.790, 3.760, -121.969,
-93.976, -93.386, -64.653, -5.442, 84.168,
88.665, -3.895, 109.088, 87.219, 81.303,
54.872, 8.838, -45.404, -50.997, 0.252,
-62.366, -52.039, -43.824, -28.958, -11.955),
nrow = 5, ncol = 8)
),
list(
sup_all = matrix(
c(548.169, 347.244, 190.643, 10.798, 362.135,
396.644, 311.699, 452.329, -537.386, -336.214,
-179.279, 0.931, -347.580, -381.994, -297.061,
-437.608, -534.243, -333.991, -177.364, 0.950,
-342.930, -377.776, -292.785, -431.854, 486.989,
306.444, 163.143, 1.629, 302.797, 336.200,
256.617, 381.415, -283.650, -182.508, -99.920,
-7.094, -173.933, -192.287, -143.199, -212.898),
nrow = 5, ncol = 8),
avg_all = matrix(
c(77.461, -53.186, -71.531, -89.269, -33.608,
20.189, 90.073, 107.529, -75.256, 55.330,
73.620, 91.285, 37.283, -16.484, -86.364,
-103.796, -75.056, 55.193, 73.281, 91.366,
38.181, -15.249, -84.382, -102.383, 69.716,
-51.809, -67.679, -87.243, -34.755, 12.295,
72.716, 91.846, -37.131, 34.100, 41.466,
55.902, 24.880, -0.170, -31.465, -45.685),
nrow = 5, ncol = 8),
exp_all = matrix(
c(146.433, 33.369, -17.908, -102.067, -128.274,
26.718, 82.005, 96.941, -144.355, -31.269,
20.016, 104.195, 131.555, -23.446, -78.784,
-93.699, -143.521, -31.047, 19.990, 103.545,
131.258, -22.277, -76.734, -91.967, 129.638,
27.262, -17.976, -94.010, -121.773, 15.717,
63.289, 78.577, -71.139, -13.809, 9.694,
53.160, 72.197, -3.896, -28.854, -38.897),
nrow = 5, ncol = 8)
),
list(
sup_all = matrix(
c(37.957, -42.353, 39.926, 128.014, 524.278,
144.918, -23.612, 56.782, -25.342, -111.019,
-507.412, -127.889, -24.648, 57.306, -23.862,
-110.203, -502.047, -127.067, 30.489, -51.942,
18.506, 103.123, 449.871, 119.633, -41.259,
17.544, -18.796, -75.545, -259.791, -85.093),
nrow = 5, ncol = 6),
avg_all = matrix(
c(-18.325, -155.061, -103.670, 6.978, -48.210,
37.485, 22.050, 158.783, 107.355, -1.886,
53.271, -32.442, 21.893, 157.819, 107.142,
-1.829, 53.587, -31.341, -15.866, -140.760,
-97.515, 6.678, -46.686, 29.331, 9.116,
82.143, 60.743, -1.975, 32.086, -9.949),
nrow = 5, ncol = 6),
exp_all = matrix(
c(-137.371, -136.612, -85.466, 110.311, 126.707,
126.436, 140.757, 139.991, 88.873, -105.973,
-122.412, -122.153, 139.533, 139.353, 88.336,
-104.863, -120.880, -120.698, -125.736, -128.447,
-81.922, 94.251, 106.734, 108.314, 69.001,
74.790, 48.487, -53.322, -56.984, -60.677),
nrow = 5, ncol = 6)
),
list(
sup_all = matrix(
c(103.021, 9.541, 211.642, 45.048, -85.974,
7.569, -192.428, -25.757, -86.839, 6.744,
-191.186, -25.702, 87.238, -2.350, 174.401,
24.190, -73.026, -14.775, -112.630, -27.104),
nrow = 5, ncol = 4),
avg_all = matrix(
c(-43.158, -51.871, 147.598, 47.473, 48.310,
57.023, -141.296, -41.090, 48.051, 56.689,
-138.779, -40.375, -38.988, -48.233, 125.323,
41.374, 23.029, 30.478, -62.270, -21.834),
nrow = 5, ncol = 4),
exp_all = matrix(
c(-31.903, 31.417, 119.248, 121.963, 36.376,
-26.975, -113.902, -116.606, 36.364, -26.210,
-112.207, -115.649, -33.859, 20.936, 96.830,
105.056, 18.506, -10.155, -50.816, -62.001),
nrow = 5, ncol = 4)
),
list(
sup_all = matrix(
c(313.344, 335.216, -294.174, -314.067, -293.081,
-311.014, 272.950, 279.456, -178.831, -169.314),
nrow = 5, ncol = 2),
avg_all = matrix(
c(182.786, -1.855, -176.403, 9.514, -174.802,
9.304, 164.069, -0.485, -90.843, 0.244),
nrow = 5, ncol = 2),
exp_all = matrix(
c(-35.411, 68.744, 40.873, -62.447, 39.931,
-61.845, -32.939, 55.648, 12.955, -33.249),
nrow = 5, ncol = 2)
)
)
)
d9d6ka/RANEPA-R documentation built on May 4, 2024, 7:11 a.m.
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.cval_break_date_cset <- list(
list(
list(
sup_all = matrix(
c(695.025, 230.321, 611.599, 446.265, 492.130,
369.181, 515.946, 423.522, -682.721, -215.312,
-594.541, -427.085, -476.967, -351.765, -496.675,
-402.336, -677.973, -216.055, -591.452, -425.746,
-474.993, -350.083, -493.984, -400.520, 614.214,
205.077, 543.605, 394.135, 439.066, 317.486,
451.864, 368.371, -359.150, -140.560, -332.187,
-247.654, -273.010, -192.033, -275.223, -230.669),
nrow = 5, ncol = 8),
avg_all = matrix(
c(-67.517, -4.742, 38.664, -44.795, -46.922,
-1.169, 36.556, 90.531, 70.655, 9.170,
-33.019, 51.692, 51.387, 6.836, -29.658,
-82.435, 69.984, 9.347, -32.545, 50.884,
50.572, 7.308, -29.493, -82.117, -60.633,
-7.170, 32.583, -39.274, -40.291, -4.427,
31.347, 80.290, 35.541, 7.592, -16.432,
20.054, 21.002, 5.001, -16.723, -44.961),
nrow = 5, ncol = 8),
exp_all = matrix(
c(2.798, -12.572, 53.978, 36.773, 40.067,
103.672, 156.828, 186.745, -0.123, 16.283,
-49.374, -31.246, -36.364, -99.066, -151.349,
-180.362, -0.384, 15.638, -49.078, -31.513,
-36.349, -97.902, -149.611, -179.484, 1.194,
-13.246, 44.108, 30.038, 32.965, 85.377,
131.562, 163.393, -2.076, 5.542, -26.456,
-21.076, -19.352, -45.650, -71.917, -95.791),
nrow = 5, ncol = 8)
),
list(
sup_all = matrix(
c(266.232, 63.571, 155.596, 182.708, 328.702,
334.786, 346.856, 257.698, -256.956, -54.017,
-145.772, -172.655, -315.765, -321.771, -333.813,
-244.557, -256.999, -54.097, -144.358, -170.615,
-313.389, -318.486, -329.606, -241.258, 242.167,
53.478, 131.757, 154.259, 287.581, 288.122,
292.281, 212.770, -153.729, -41.001, -79.626,
-91.230, -180.414, -175.235, -167.344, -121.852),
nrow = 5, ncol = 8),
avg_all = matrix(
c(-28.100, -87.289, -44.889, -31.668, -47.527,
26.397, 16.797, 15.562, 29.902, 89.059,
46.595, 33.348, 50.677, -23.232, -13.645,
-12.400, 29.896, 88.601, 46.847, 33.434,
50.875, -22.646, -12.646, -11.601, -29.054,
-81.589, -45.638, -32.429, -46.729, 19.992,
7.879, 7.609, 21.657, 48.817, 30.398,
21.538, 30.778, -7.188, 3.431, 2.434),
nrow = 5, ncol = 8),
exp_all = matrix(
c(14.082, 5.506, -32.751, -46.655, -42.071,
23.915, 76.243, 132.601, -12.478, -3.910,
34.351, 48.281, 44.739, -21.250, -73.595,
-129.919, -12.745, -3.912, 34.383, 48.052,
44.922, -20.306, -71.722, -128.177, 12.548,
3.865, -31.986, -43.875, -42.682, 15.507,
58.774, 111.877, -7.824, -2.851, 18.592,
24.749, 25.522, -7.076, -27.017, -58.853),
nrow = 5, ncol = 8)
),
list(
sup_all = matrix(
c(163.031, -70.596, 66.972, 335.274, 348.389,
451.206, -150.319, 83.405, -54.009, -320.020,
-333.177, -435.934, -150.468, 82.167, -54.751,
-318.772, -331.286, -433.120, 141.708, -67.818,
56.836, 297.613, 305.824, 397.958, -98.478,
18.275, -51.103, -192.373, -190.989, -243.560),
nrow = 5, ncol = 6),
avg_all = matrix(
c(-26.579, -74.864, -36.055, 48.859, 77.250,
5.872, 29.780, 78.035, 39.204, -44.417,
-72.837, -1.431, 29.494, 77.806, 39.254,
-43.858, -71.725, -1.230, -24.988, -70.867,
-36.294, 41.912, 65.283, 2.668, 15.644,
43.709, 24.280, -21.831, -32.141, 1.858),
nrow = 5, ncol = 6),
exp_all = matrix(
c(-23.472, -19.059, -61.708, 35.927, 32.331,
11.703, 26.227, 21.788, 64.464, -32.253,
-28.693, -8.058, 25.873, 22.148, 64.148,
-31.709, -27.888, -7.561, -23.011, -22.124,
-58.419, 27.280, 22.968, 5.399, 11.256,
13.606, 31.669, -14.855, -11.444, -2.367),
nrow = 5, ncol = 6)
),
list(
sup_all = matrix(
c(303.330, 152.064, 468.094, 205.131, -288.201,
-136.822, -450.681, -187.666, -285.274, -135.774,
-447.824, -186.945, 257.835, 125.711, 405.279,
170.669, -161.720, -90.329, -240.676, -109.431),
nrow = 5, ncol = 4),
avg_all = matrix(
c(-29.874, -27.280, 51.807, 75.889, 34.407,
31.809, -46.117, -70.191, 33.970, 31.594,
-45.555, -69.196, -28.169, -28.281, 44.600,
63.949, 17.654, 20.746, -24.737, -32.509),
nrow = 5, ncol = 4),
exp_all = matrix(
c(-68.448, -46.246, 73.477, 44.888, 72.220,
50.010, -68.866, -40.253, 71.937, 50.017,
-68.134, -39.931, -66.882, -47.770, 60.564,
35.440, 38.059, 28.225, -34.944, -20.800),
nrow = 5, ncol = 4)
),
list(
sup_all = matrix(
c(394.751, 385.532, -377.388, -366.242, -375.966,
-364.027, 346.640, 333.115, -217.638, -206.430),
nrow = 5, ncol = 2),
avg_all = matrix(
c(40.488, 64.721, -34.765, -57.822, -34.379,
-57.221, 33.773, 55.161, -16.021, -28.746),
nrow = 5, ncol = 2),
exp_all = matrix(
c(21.183, 132.675, -16.487, -127.162, -16.666,
-126.196, 15.812, 113.289, -11.680, -64.996),
nrow = 5, ncol = 2)
)
),
list(
list(
sup_all = matrix(
c(527.107, 194.143, 614.973, 295.263, 470.123,
304.997, 259.217, 328.062, -513.026, -177.273,
-596.134, -274.177, -453.083, -285.782, -238.126,
-304.848, -511.464, -180.072, -593.118, -274.051,
-451.868, -284.049, -236.043, -303.513, 469.267,
177.585, 546.530, 255.638, 414.827, 258.147,
214.645, 279.579, -280.410, -128.900, -335.239,
-166.605, -252.008, -161.675, -138.459, -178.937),
nrow = 5, ncol = 8),
avg_all = matrix(
c(-25.396, 14.564, -1.411, 13.688, 4.796,
-13.991, 105.999, 108.377, 29.043, -9.570,
7.700, -6.094, 0.249, 20.297, -98.391,
-99.491, 28.021, -8.879, 8.139, -6.433,
0.210, 21.355, -97.361, -99.343, -16.550,
10.989, -2.378, 15.951, 6.116, -17.640,
93.101, 99.859, 5.967, -2.758, 3.964,
-11.637, -2.391, 16.163, -47.740, -56.396),
nrow = 5, ncol = 8),
exp_all = matrix(
c(97.372, 102.603, 1.783, 129.459, 98.406,
99.830, 72.113, 11.858, -94.085, -98.245,
3.528, -123.203, -94.030, -94.459, -65.837,
-4.608, -93.667, -97.790, 3.760, -121.969,
-93.976, -93.386, -64.653, -5.442, 84.168,
88.665, -3.895, 109.088, 87.219, 81.303,
54.872, 8.838, -45.404, -50.997, 0.252,
-62.366, -52.039, -43.824, -28.958, -11.955),
nrow = 5, ncol = 8)
),
list(
sup_all = matrix(
c(548.169, 347.244, 190.643, 10.798, 362.135,
396.644, 311.699, 452.329, -537.386, -336.214,
-179.279, 0.931, -347.580, -381.994, -297.061,
-437.608, -534.243, -333.991, -177.364, 0.950,
-342.930, -377.776, -292.785, -431.854, 486.989,
306.444, 163.143, 1.629, 302.797, 336.200,
256.617, 381.415, -283.650, -182.508, -99.920,
-7.094, -173.933, -192.287, -143.199, -212.898),
nrow = 5, ncol = 8),
avg_all = matrix(
c(77.461, -53.186, -71.531, -89.269, -33.608,
20.189, 90.073, 107.529, -75.256, 55.330,
73.620, 91.285, 37.283, -16.484, -86.364,
-103.796, -75.056, 55.193, 73.281, 91.366,
38.181, -15.249, -84.382, -102.383, 69.716,
-51.809, -67.679, -87.243, -34.755, 12.295,
72.716, 91.846, -37.131, 34.100, 41.466,
55.902, 24.880, -0.170, -31.465, -45.685),
nrow = 5, ncol = 8),
exp_all = matrix(
c(146.433, 33.369, -17.908, -102.067, -128.274,
26.718, 82.005, 96.941, -144.355, -31.269,
20.016, 104.195, 131.555, -23.446, -78.784,
-93.699, -143.521, -31.047, 19.990, 103.545,
131.258, -22.277, -76.734, -91.967, 129.638,
27.262, -17.976, -94.010, -121.773, 15.717,
63.289, 78.577, -71.139, -13.809, 9.694,
53.160, 72.197, -3.896, -28.854, -38.897),
nrow = 5, ncol = 8)
),
list(
sup_all = matrix(
c(37.957, -42.353, 39.926, 128.014, 524.278,
144.918, -23.612, 56.782, -25.342, -111.019,
-507.412, -127.889, -24.648, 57.306, -23.862,
-110.203, -502.047, -127.067, 30.489, -51.942,
18.506, 103.123, 449.871, 119.633, -41.259,
17.544, -18.796, -75.545, -259.791, -85.093),
nrow = 5, ncol = 6),
avg_all = matrix(
c(-18.325, -155.061, -103.670, 6.978, -48.210,
37.485, 22.050, 158.783, 107.355, -1.886,
53.271, -32.442, 21.893, 157.819, 107.142,
-1.829, 53.587, -31.341, -15.866, -140.760,
-97.515, 6.678, -46.686, 29.331, 9.116,
82.143, 60.743, -1.975, 32.086, -9.949),
nrow = 5, ncol = 6),
exp_all = matrix(
c(-137.371, -136.612, -85.466, 110.311, 126.707,
126.436, 140.757, 139.991, 88.873, -105.973,
-122.412, -122.153, 139.533, 139.353, 88.336,
-104.863, -120.880, -120.698, -125.736, -128.447,
-81.922, 94.251, 106.734, 108.314, 69.001,
74.790, 48.487, -53.322, -56.984, -60.677),
nrow = 5, ncol = 6)
),
list(
sup_all = matrix(
c(103.021, 9.541, 211.642, 45.048, -85.974,
7.569, -192.428, -25.757, -86.839, 6.744,
-191.186, -25.702, 87.238, -2.350, 174.401,
24.190, -73.026, -14.775, -112.630, -27.104),
nrow = 5, ncol = 4),
avg_all = matrix(
c(-43.158, -51.871, 147.598, 47.473, 48.310,
57.023, -141.296, -41.090, 48.051, 56.689,
-138.779, -40.375, -38.988, -48.233, 125.323,
41.374, 23.029, 30.478, -62.270, -21.834),
nrow = 5, ncol = 4),
exp_all = matrix(
c(-31.903, 31.417, 119.248, 121.963, 36.376,
-26.975, -113.902, -116.606, 36.364, -26.210,
-112.207, -115.649, -33.859, 20.936, 96.830,
105.056, 18.506, -10.155, -50.816, -62.001),
nrow = 5, ncol = 4)
),
list(
sup_all = matrix(
c(313.344, 335.216, -294.174, -314.067, -293.081,
-311.014, 272.950, 279.456, -178.831, -169.314),
nrow = 5, ncol = 2),
avg_all = matrix(
c(182.786, -1.855, -176.403, 9.514, -174.802,
9.304, 164.069, -0.485, -90.843, 0.244),
nrow = 5, ncol = 2),
exp_all = matrix(
c(-35.411, 68.744, 40.873, -62.447, 39.931,
-61.845, -32.939, 55.648, 12.955, -33.249),
nrow = 5, ncol = 2)
)
)
)
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