TugasAnmul.Kel-12

library(psych)
library(corrplot)

## corrplot 0.95 loaded

library(factoextra)

## Loading required package: ggplot2

## 
## Attaching package: 'ggplot2'

## The following objects are masked from 'package:psych':
## 
##     %+%, alpha

## Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBa

library(knitr)

Karakteristik Data

Import data & pilih variabel numerik

# Import data
data <- read.csv("DatasetKel-12.csv")

# Hapus kolom indeks (jika ada)
data <- data[, !names(data) %in% "X"]
data_pca <- data[, sapply(data, is.numeric)]
# Cek data
head(data_pca)

##   x.radius_mean x.texture_mean x.perimeter_mean x.area_mean x.smoothness_mean
## 1        13.540          14.36            87.46       566.3           0.09779
## 2        13.080          15.71            85.63       520.0           0.10750
## 3         9.504          12.44            60.34       273.9           0.10240
## 4        13.030          18.42            82.61       523.8           0.08983
## 5         8.196          16.84            51.71       201.9           0.08600
## 6        12.050          14.63            78.04       449.3           0.10310
##   x.compactness_mean x.concavity_mean x.concave_pts_mean x.symmetry_mean
## 1            0.08129          0.06664           0.047810          0.1885
## 2            0.12700          0.04568           0.031100          0.1967
## 3            0.06492          0.02956           0.020760          0.1815
## 4            0.03766          0.02562           0.029230          0.1467
## 5            0.05943          0.01588           0.005917          0.1769
## 6            0.09092          0.06592           0.027490          0.1675
##   x.fractal_dim_mean x.radius_se x.texture_se x.perimeter_se x.area_se
## 1            0.05766      0.2699       0.7886          2.058    23.560
## 2            0.06811      0.1852       0.7477          1.383    14.670
## 3            0.06905      0.2773       0.9768          1.909    15.700
## 4            0.05863      0.1839       2.3420          1.170    14.160
## 5            0.06503      0.1563       0.9567          1.094     8.205
## 6            0.06043      0.2636       0.7294          1.848    19.870
##   x.smoothness_se x.compactness_se x.concavity_se x.concave_pts_se
## 1        0.008462         0.014600        0.02387         0.013150
## 2        0.004097         0.018980        0.01698         0.006490
## 3        0.009606         0.014320        0.01985         0.014210
## 4        0.004352         0.004899        0.01343         0.011640
## 5        0.008968         0.016460        0.01588         0.005917
## 6        0.005488         0.014270        0.02322         0.005660
##   x.symmetry_se x.fractal_dim_se x.radius_worst x.texture_worst
## 1       0.01980         0.002300         15.110           19.26
## 2       0.01678         0.002425         14.500           20.49
## 3       0.02027         0.002968         10.230           15.66
## 4       0.02671         0.001777         13.300           22.81
## 5       0.02574         0.002582          8.964           21.96
## 6       0.01428         0.002422         13.760           20.70
##   x.perimeter_worst x.area_worst x.smoothness_worst x.compactness_worst
## 1             99.70        711.2            0.14400             0.17730
## 2             96.09        630.5            0.13120             0.27760
## 3             65.13        314.9            0.13240             0.11480
## 4             84.46        545.9            0.09701             0.04619
## 5             57.26        242.2            0.12970             0.13570
## 6             89.88        582.6            0.14940             0.21560
##   x.concavity_worst x.concave_pts_worst x.symmetry_worst x.fractal_dim_worst
## 1           0.23900             0.12880           0.2977             0.07259
## 2           0.18900             0.07283           0.3184             0.08183
## 3           0.08867             0.06227           0.2450             0.07773
## 4           0.04833             0.05013           0.1987             0.06169
## 5           0.06880             0.02564           0.3105             0.07409
## 6           0.30500             0.06548           0.2747             0.08301

Pemeriksaan Missing Value

# Cek missing value per variabel
colSums(is.na(data_pca))

##       x.radius_mean      x.texture_mean    x.perimeter_mean         x.area_mean 
##                   0                   0                   0                   0 
##   x.smoothness_mean  x.compactness_mean    x.concavity_mean  x.concave_pts_mean 
##                   0                   0                   0                   0 
##     x.symmetry_mean  x.fractal_dim_mean         x.radius_se        x.texture_se 
##                   0                   0                   0                   0 
##      x.perimeter_se           x.area_se     x.smoothness_se    x.compactness_se 
##                   0                   0                   0                   0 
##      x.concavity_se    x.concave_pts_se       x.symmetry_se    x.fractal_dim_se 
##                   0                   0                   0                   0 
##      x.radius_worst     x.texture_worst   x.perimeter_worst        x.area_worst 
##                   0                   0                   0                   0 
##  x.smoothness_worst x.compactness_worst   x.concavity_worst x.concave_pts_worst 
##                   0                   0                   0                   0 
##    x.symmetry_worst x.fractal_dim_worst 
##                   0                   0

# Total missing value
sum(is.na(data_pca))

## [1] 0

Statistik deskriptif

desc<- describe(data_pca)
desc

##                     vars   n   mean     sd median trimmed    mad    min     max
## x.radius_mean          1 569  14.13   3.52  13.37   13.82   2.82   6.98   28.11
## x.texture_mean         2 569  19.29   4.30  18.84   19.04   4.17   9.71   39.28
## x.perimeter_mean       3 569  91.97  24.30  86.24   89.74  18.84  43.79  188.50
## x.area_mean            4 569 654.89 351.91 551.10  606.13 227.28 143.50 2501.00
## x.smoothness_mean      5 569   0.10   0.01   0.10    0.10   0.01   0.05    0.16
## x.compactness_mean     6 569   0.10   0.05   0.09    0.10   0.05   0.02    0.35
## x.concavity_mean       7 569   0.09   0.08   0.06    0.08   0.06   0.00    0.43
## x.concave_pts_mean     8 569   0.05   0.04   0.03    0.04   0.03   0.00    0.20
## x.symmetry_mean        9 569   0.18   0.03   0.18    0.18   0.03   0.11    0.30
## x.fractal_dim_mean    10 569   0.06   0.01   0.06    0.06   0.01   0.05    0.10
## x.radius_se           11 569   0.41   0.28   0.32    0.36   0.16   0.11    2.87
## x.texture_se          12 569   1.22   0.55   1.11    1.16   0.47   0.36    4.88
## x.perimeter_se        13 569   2.87   2.02   2.29    2.51   1.14   0.76   21.98
## x.area_se             14 569  40.34  45.49  24.53   31.69  13.63   6.80  542.20
## x.smoothness_se       15 569   0.01   0.00   0.01    0.01   0.00   0.00    0.03
## x.compactness_se      16 569   0.03   0.02   0.02    0.02   0.01   0.00    0.14
## x.concavity_se        17 569   0.03   0.03   0.03    0.03   0.02   0.00    0.40
## x.concave_pts_se      18 569   0.01   0.01   0.01    0.01   0.01   0.00    0.05
## x.symmetry_se         19 569   0.02   0.01   0.02    0.02   0.01   0.01    0.08
## x.fractal_dim_se      20 569   0.00   0.00   0.00    0.00   0.00   0.00    0.03
## x.radius_worst        21 569  16.27   4.83  14.97   15.73   3.65   7.93   36.04
## x.texture_worst       22 569  25.68   6.15  25.41   25.39   6.42  12.02   49.54
## x.perimeter_worst     23 569 107.26  33.60  97.66  103.42  25.01  50.41  251.20
## x.area_worst          24 569 880.58 569.36 686.50  788.02 319.65 185.20 4254.00
## x.smoothness_worst    25 569   0.13   0.02   0.13    0.13   0.02   0.07    0.22
## x.compactness_worst   26 569   0.25   0.16   0.21    0.23   0.13   0.03    1.06
## x.concavity_worst     27 569   0.27   0.21   0.23    0.25   0.20   0.00    1.25
## x.concave_pts_worst   28 569   0.11   0.07   0.10    0.11   0.07   0.00    0.29
## x.symmetry_worst      29 569   0.29   0.06   0.28    0.28   0.05   0.16    0.66
## x.fractal_dim_worst   30 569   0.08   0.02   0.08    0.08   0.01   0.06    0.21
##                       range skew kurtosis    se
## x.radius_mean         21.13 0.94     0.81  0.15
## x.texture_mean        29.57 0.65     0.73  0.18
## x.perimeter_mean     144.71 0.99     0.94  1.02
## x.area_mean         2357.50 1.64     3.59 14.75
## x.smoothness_mean      0.11 0.45     0.82  0.00
## x.compactness_mean     0.33 1.18     1.61  0.00
## x.concavity_mean       0.43 1.39     1.95  0.00
## x.concave_pts_mean     0.20 1.17     1.03  0.00
## x.symmetry_mean        0.20 0.72     1.25  0.00
## x.fractal_dim_mean     0.05 1.30     2.95  0.00
## x.radius_se            2.76 3.07    17.45  0.01
## x.texture_se           4.52 1.64     5.26  0.02
## x.perimeter_se        21.22 3.43    21.12  0.08
## x.area_se            535.40 5.42    48.59  1.91
## x.smoothness_se        0.03 2.30    10.32  0.00
## x.compactness_se       0.13 1.89     5.02  0.00
## x.concavity_se         0.40 5.08    48.24  0.00
## x.concave_pts_se       0.05 1.44     5.04  0.00
## x.symmetry_se          0.07 2.18     7.78  0.00
## x.fractal_dim_se       0.03 3.90    25.94  0.00
## x.radius_worst        28.11 1.10     0.91  0.20
## x.texture_worst       37.52 0.50     0.20  0.26
## x.perimeter_worst    200.79 1.12     1.04  1.41
## x.area_worst        4068.80 1.85     4.32 23.87
## x.smoothness_worst     0.15 0.41     0.49  0.00
## x.compactness_worst    1.03 1.47     2.98  0.01
## x.concavity_worst      1.25 1.14     1.57  0.01
## x.concave_pts_worst    0.29 0.49    -0.55  0.00
## x.symmetry_worst       0.51 1.43     4.37  0.00
## x.fractal_dim_worst    0.15 1.65     5.16  0.00

Visualisasi Data

boxplot(data_pca[,1:15],
        las = 2,
        cex.axis = 0.7,
        main = "Boxplot 1")

boxplot(data_pca[,16:30],
        las = 2,
        cex.axis = 0.7,
        main = "Boxplot 2")

Uji Asumsi PCA

Matriks Korelasi

mat_corr <- cor(data_pca)
kable(round(mat_corr,3))

	x.radius_mean	x.texture_mean	x.perimeter_mean	x.area_mean	x.smoothness_mean	x.compactness_mean	x.concavity_mean	x.concave_pts_mean	x.symmetry_mean	x.fractal_dim_mean	x.radius_se	x.texture_se	x.perimeter_se	x.area_se	x.smoothness_se	x.compactness_se	x.concavity_se	x.concave_pts_se	x.symmetry_se	x.fractal_dim_se	x.radius_worst	x.texture_worst	x.perimeter_worst	x.area_worst	x.smoothness_worst	x.compactness_worst	x.concavity_worst	x.concave_pts_worst	x.symmetry_worst	x.fractal_dim_worst
x.radius_mean	1.000	0.324	0.998	0.987	0.171	0.506	0.677	0.823	0.148	-0.312	0.679	-0.097	0.674	0.736	-0.223	0.206	0.194	0.376	-0.104	-0.043	0.970	0.297	0.965	0.941	0.120	0.413	0.527	0.744	0.164	0.007
x.texture_mean	0.324	1.000	0.330	0.321	-0.023	0.237	0.302	0.293	0.071	-0.076	0.276	0.386	0.282	0.260	0.007	0.192	0.143	0.164	0.009	0.054	0.353	0.912	0.358	0.344	0.078	0.278	0.301	0.295	0.105	0.119
x.perimeter_mean	0.998	0.330	1.000	0.987	0.207	0.557	0.716	0.851	0.183	-0.261	0.692	-0.087	0.693	0.745	-0.203	0.251	0.228	0.407	-0.082	-0.006	0.969	0.303	0.970	0.942	0.151	0.456	0.564	0.771	0.189	0.051
x.area_mean	0.987	0.321	0.987	1.000	0.177	0.499	0.686	0.823	0.151	-0.283	0.733	-0.066	0.727	0.800	-0.167	0.213	0.208	0.372	-0.072	-0.020	0.963	0.287	0.959	0.959	0.124	0.390	0.513	0.722	0.144	0.004
x.smoothness_mean	0.171	-0.023	0.207	0.177	1.000	0.659	0.522	0.554	0.558	0.585	0.301	0.068	0.296	0.247	0.332	0.319	0.248	0.381	0.201	0.284	0.213	0.036	0.239	0.207	0.805	0.472	0.435	0.503	0.394	0.499
x.compactness_mean	0.506	0.237	0.557	0.499	0.659	1.000	0.883	0.831	0.603	0.565	0.497	0.046	0.549	0.456	0.135	0.739	0.571	0.642	0.230	0.507	0.535	0.248	0.590	0.510	0.566	0.866	0.816	0.816	0.510	0.687
x.concavity_mean	0.677	0.302	0.716	0.686	0.522	0.883	1.000	0.921	0.501	0.337	0.632	0.076	0.660	0.617	0.099	0.670	0.691	0.683	0.178	0.449	0.688	0.300	0.730	0.676	0.449	0.755	0.884	0.861	0.409	0.515
x.concave_pts_mean	0.823	0.293	0.851	0.823	0.554	0.831	0.921	1.000	0.462	0.167	0.698	0.021	0.711	0.690	0.028	0.490	0.439	0.616	0.095	0.258	0.830	0.293	0.856	0.810	0.453	0.667	0.752	0.910	0.376	0.369
x.symmetry_mean	0.148	0.071	0.183	0.151	0.558	0.603	0.501	0.462	1.000	0.480	0.303	0.128	0.314	0.224	0.187	0.422	0.343	0.393	0.449	0.332	0.186	0.091	0.219	0.177	0.427	0.473	0.434	0.430	0.700	0.438
x.fractal_dim_mean	-0.312	-0.076	-0.261	-0.283	0.585	0.565	0.337	0.167	0.480	1.000	0.000	0.164	0.040	-0.090	0.402	0.560	0.447	0.341	0.345	0.688	-0.254	-0.051	-0.205	-0.232	0.505	0.459	0.346	0.175	0.334	0.767
x.radius_se	0.679	0.276	0.692	0.733	0.301	0.497	0.632	0.698	0.303	0.000	1.000	0.213	0.973	0.952	0.165	0.356	0.332	0.513	0.241	0.228	0.715	0.195	0.720	0.752	0.142	0.287	0.381	0.531	0.095	0.050
x.texture_se	-0.097	0.386	-0.087	-0.066	0.068	0.046	0.076	0.021	0.128	0.164	0.213	1.000	0.223	0.112	0.397	0.232	0.195	0.230	0.412	0.280	-0.112	0.409	-0.102	-0.083	-0.074	-0.092	-0.069	-0.120	-0.128	-0.046
x.perimeter_se	0.674	0.282	0.693	0.727	0.296	0.549	0.660	0.711	0.314	0.040	0.973	0.223	1.000	0.938	0.151	0.416	0.362	0.556	0.266	0.244	0.697	0.200	0.721	0.731	0.130	0.342	0.419	0.555	0.110	0.085
x.area_se	0.736	0.260	0.745	0.800	0.247	0.456	0.617	0.690	0.224	-0.090	0.952	0.112	0.938	1.000	0.075	0.285	0.271	0.416	0.134	0.127	0.757	0.196	0.761	0.811	0.125	0.283	0.385	0.538	0.074	0.018
x.smoothness_se	-0.223	0.007	-0.203	-0.167	0.332	0.135	0.099	0.028	0.187	0.402	0.165	0.397	0.151	0.075	1.000	0.337	0.269	0.328	0.414	0.427	-0.231	-0.075	-0.217	-0.182	0.314	-0.056	-0.058	-0.102	-0.107	0.101
x.compactness_se	0.206	0.192	0.251	0.213	0.319	0.739	0.670	0.490	0.422	0.560	0.356	0.232	0.416	0.285	0.337	1.000	0.801	0.744	0.395	0.803	0.205	0.143	0.261	0.199	0.227	0.679	0.639	0.483	0.278	0.591
x.concavity_se	0.194	0.143	0.228	0.208	0.248	0.571	0.691	0.439	0.343	0.447	0.332	0.195	0.362	0.271	0.269	0.801	1.000	0.772	0.309	0.727	0.187	0.100	0.227	0.188	0.168	0.485	0.663	0.440	0.198	0.439
x.concave_pts_se	0.376	0.164	0.407	0.372	0.381	0.642	0.683	0.616	0.393	0.341	0.513	0.230	0.556	0.416	0.328	0.744	0.772	1.000	0.313	0.611	0.358	0.087	0.395	0.342	0.215	0.453	0.550	0.602	0.143	0.311
x.symmetry_se	-0.104	0.009	-0.082	-0.072	0.201	0.230	0.178	0.095	0.449	0.345	0.241	0.412	0.266	0.134	0.414	0.395	0.309	0.313	1.000	0.369	-0.128	-0.077	-0.104	-0.110	-0.013	0.060	0.037	-0.030	0.389	0.078
x.fractal_dim_se	-0.043	0.054	-0.006	-0.020	0.284	0.507	0.449	0.258	0.332	0.688	0.228	0.280	0.244	0.127	0.427	0.803	0.727	0.611	0.369	1.000	-0.037	-0.003	-0.001	-0.023	0.171	0.390	0.380	0.215	0.111	0.591
x.radius_worst	0.970	0.353	0.969	0.963	0.213	0.535	0.688	0.830	0.186	-0.254	0.715	-0.112	0.697	0.757	-0.231	0.205	0.187	0.358	-0.128	-0.037	1.000	0.360	0.994	0.984	0.217	0.476	0.574	0.787	0.244	0.093
x.texture_worst	0.297	0.912	0.303	0.287	0.036	0.248	0.300	0.293	0.091	-0.051	0.195	0.409	0.200	0.196	-0.075	0.143	0.100	0.087	-0.077	-0.003	0.360	1.000	0.365	0.346	0.225	0.361	0.368	0.360	0.233	0.219
x.perimeter_worst	0.965	0.358	0.970	0.959	0.239	0.590	0.730	0.856	0.219	-0.205	0.720	-0.102	0.721	0.761	-0.217	0.261	0.227	0.395	-0.104	-0.001	0.994	0.365	1.000	0.978	0.237	0.529	0.618	0.816	0.269	0.139
x.area_worst	0.941	0.344	0.942	0.959	0.207	0.510	0.676	0.810	0.177	-0.232	0.752	-0.083	0.731	0.811	-0.182	0.199	0.188	0.342	-0.110	-0.023	0.984	0.346	0.978	1.000	0.209	0.438	0.543	0.747	0.209	0.080
x.smoothness_worst	0.120	0.078	0.151	0.124	0.805	0.566	0.449	0.453	0.427	0.505	0.142	-0.074	0.130	0.125	0.314	0.227	0.168	0.215	-0.013	0.171	0.217	0.225	0.237	0.209	1.000	0.568	0.519	0.548	0.494	0.618
x.compactness_worst	0.413	0.278	0.456	0.390	0.472	0.866	0.755	0.667	0.473	0.459	0.287	-0.092	0.342	0.283	-0.056	0.679	0.485	0.453	0.060	0.390	0.476	0.361	0.529	0.438	0.568	1.000	0.892	0.801	0.614	0.810
x.concavity_worst	0.527	0.301	0.564	0.513	0.435	0.816	0.884	0.752	0.434	0.346	0.381	-0.069	0.419	0.385	-0.058	0.639	0.663	0.550	0.037	0.380	0.574	0.368	0.618	0.543	0.519	0.892	1.000	0.855	0.533	0.687
x.concave_pts_worst	0.744	0.295	0.771	0.722	0.503	0.816	0.861	0.910	0.430	0.175	0.531	-0.120	0.555	0.538	-0.102	0.483	0.440	0.602	-0.030	0.215	0.787	0.360	0.816	0.747	0.548	0.801	0.855	1.000	0.503	0.511
x.symmetry_worst	0.164	0.105	0.189	0.144	0.394	0.510	0.409	0.376	0.700	0.334	0.095	-0.128	0.110	0.074	-0.107	0.278	0.198	0.143	0.389	0.111	0.244	0.233	0.269	0.209	0.494	0.614	0.533	0.503	1.000	0.538
x.fractal_dim_worst	0.007	0.119	0.051	0.004	0.499	0.687	0.515	0.369	0.438	0.767	0.050	-0.046	0.085	0.018	0.101	0.591	0.439	0.311	0.078	0.591	0.093	0.219	0.139	0.080	0.618	0.810	0.687	0.511	0.538	1.000

corrplot(mat_corr,
         method = "color",
         type = "upper",
         order = "hclust",      # Urutkan berdasarkan cluster
         tl.cex = 0.5,          # Ukuran teks lebih kecil
         tl.col = "black",
         tl.srt = 45,           # Rotasi 45 derajat
         addCoef.col = NULL)

Uji Barlett

bartlett <- cortest.bartlett(mat_corr, n = nrow(data_pca))
bartlett

## $chisq
## [1] 39362.12
## 
## $p.value
## [1] 0
## 
## $df
## [1] 435

Uji KMO

kmo <- KMO(mat_corr)

kmo_table <- data.frame(
  MSA = round(kmo$MSAi, 2)
)

kable(kmo_table)

	MSA
x.radius_mean	0.83
x.texture_mean	0.64
x.perimeter_mean	0.85
x.area_mean	0.86
x.smoothness_mean	0.81
x.compactness_mean	0.88
x.concavity_mean	0.89
x.concave_pts_mean	0.90
x.symmetry_mean	0.83
x.fractal_dim_mean	0.83
x.radius_se	0.83
x.texture_se	0.48
x.perimeter_se	0.84
x.area_se	0.85
x.smoothness_se	0.64
x.compactness_se	0.87
x.concavity_se	0.83
x.concave_pts_se	0.84
x.symmetry_se	0.58
x.fractal_dim_se	0.81
x.radius_worst	0.82
x.texture_worst	0.60
x.perimeter_worst	0.88
x.area_worst	0.82
x.smoothness_worst	0.75
x.compactness_worst	0.85
x.concavity_worst	0.90
x.concave_pts_worst	0.89
x.symmetry_worst	0.69
x.fractal_dim_worst	0.81

# Overall KMO
kmo$MSA

## [1] 0.8322253

Eliminasi Variabel dengan MSA <0,5

kmo$MSAi[kmo$MSAi < 0.5]

## x.texture_se 
##    0.4845894

data_pca2 <- data_pca[, !names(data_pca) %in% "x.texture_se"]

mat_corr2 <- cor(data_pca2)
kmo2 <- KMO(mat_corr2)

kmo2$MSA      # Overall KMO baru

## [1] 0.8398098

kmo2$MSAi     # MSA per variabel

##       x.radius_mean      x.texture_mean    x.perimeter_mean         x.area_mean 
##           0.8338378           0.7138100           0.8523631           0.8661324 
##   x.smoothness_mean  x.compactness_mean    x.concavity_mean  x.concave_pts_mean 
##           0.8119036           0.8797892           0.8914803           0.8989748 
##     x.symmetry_mean  x.fractal_dim_mean         x.radius_se      x.perimeter_se 
##           0.8328784           0.8304402           0.8327264           0.8387278 
##           x.area_se     x.smoothness_se    x.compactness_se      x.concavity_se 
##           0.8571309           0.6163082           0.8702270           0.8228154 
##    x.concave_pts_se       x.symmetry_se    x.fractal_dim_se      x.radius_worst 
##           0.8311391           0.5840236           0.8070904           0.8228654 
##     x.texture_worst   x.perimeter_worst        x.area_worst  x.smoothness_worst 
##           0.7182789           0.8835000           0.8221031           0.7502878 
## x.compactness_worst   x.concavity_worst x.concave_pts_worst    x.symmetry_worst 
##           0.8524841           0.9018163           0.8881710           0.7042633 
## x.fractal_dim_worst 
##           0.8111279

Principal Component Analysis (PCA)

Standarisasi Data

data_std <- scale(data_pca2)
kable(round(data_std,3))

x.radius_mean	x.texture_mean	x.perimeter_mean	x.area_mean	x.smoothness_mean	x.compactness_mean	x.concavity_mean	x.concave_pts_mean	x.symmetry_mean	x.fractal_dim_mean	x.radius_se	x.perimeter_se	x.area_se	x.smoothness_se	x.compactness_se	x.concavity_se	x.concave_pts_se	x.symmetry_se	x.fractal_dim_se	x.radius_worst	x.texture_worst	x.perimeter_worst	x.area_worst	x.smoothness_worst	x.compactness_worst	x.concavity_worst	x.concave_pts_worst	x.symmetry_worst	x.fractal_dim_worst
-0.167	-1.146	-0.186	-0.252	0.102	-0.436	-0.278	-0.029	0.268	-0.728	-0.488	-0.400	-0.369	0.473	-0.607	-0.266	0.219	-0.090	-0.565	-0.240	-1.044	-0.225	-0.297	0.509	-0.489	-0.159	0.216	0.123	-0.629
-0.297	-0.832	-0.261	-0.383	0.792	0.429	-0.541	-0.459	0.567	0.752	-0.793	-0.734	-0.564	-0.981	-0.363	-0.494	-0.860	-0.455	-0.518	-0.366	-0.844	-0.332	-0.439	-0.051	0.148	-0.399	-0.636	0.458	-0.117
-1.312	-1.593	-1.302	-1.083	0.429	-0.746	-0.743	-0.726	0.012	0.886	-0.461	-0.473	-0.542	0.854	-0.623	-0.399	0.391	-0.033	-0.313	-1.250	-1.630	-1.254	-0.994	0.001	-0.886	-0.880	-0.796	-0.729	-0.344
-0.311	-0.202	-0.385	-0.373	-0.464	-1.263	-0.793	-0.507	-1.257	-0.590	-0.798	-0.839	-0.575	-0.896	-1.149	-0.612	-0.025	0.746	-0.763	-0.614	-0.466	-0.679	-0.588	-1.549	-1.322	-1.073	-0.981	-1.477	-1.232
-1.683	-0.570	-1.657	-1.287	-0.737	-0.850	-0.915	-1.108	-0.155	0.316	-0.897	-0.876	-0.706	0.642	-0.504	-0.531	-0.953	0.629	-0.458	-1.511	-0.605	-1.488	-1.121	-0.117	-0.754	-0.975	-1.353	0.330	-0.546
-0.589	-1.083	-0.573	-0.584	0.479	-0.254	-0.287	-0.552	-0.498	-0.335	-0.511	-0.504	-0.450	-0.517	-0.626	-0.287	-0.994	-0.758	-0.519	-0.519	-0.810	-0.517	-0.523	0.746	-0.246	0.157	-0.747	-0.249	-0.052
-0.181	0.700	-0.208	-0.267	-0.629	-0.518	-0.518	-0.389	-0.010	-0.796	-0.618	-0.559	-0.443	-0.861	-0.651	-0.363	0.007	-0.500	-0.695	-0.232	0.999	-0.246	-0.319	-0.708	-0.529	-0.211	0.207	-0.048	-0.818
-0.672	0.537	-0.710	-0.645	-0.710	-1.035	-0.906	-0.973	-1.155	-0.555	0.004	-0.114	-0.261	-0.394	-0.878	-0.670	-0.705	0.426	-0.766	-0.681	0.007	-0.723	-0.639	-1.045	-1.069	-1.040	-1.178	-0.756	-1.014
-0.138	-0.686	-0.196	-0.236	-1.387	-0.828	-0.881	-0.817	-1.673	-0.463	-0.786	-0.701	-0.567	-0.854	-0.765	-0.699	-0.622	-0.882	-0.470	-0.331	-0.405	-0.333	-0.393	-1.028	-0.611	-0.801	-0.437	-0.897	-0.205
-0.621	-0.244	-0.669	-0.617	-0.978	-1.076	-0.867	-0.913	0.206	-0.240	-0.641	-0.666	-0.503	0.056	-0.955	-0.622	-0.615	-0.070	-0.438	-0.656	-0.707	-0.702	-0.621	-0.787	-1.050	-0.864	-0.786	-0.187	-0.546
-0.740	-0.125	-0.767	-0.699	-0.080	-0.939	-0.733	-0.674	0.395	-0.528	-0.289	-0.338	-0.371	0.429	-0.936	-0.610	-0.507	1.408	-0.532	-0.710	-0.522	-0.757	-0.658	-0.327	-1.062	-0.870	-0.783	0.655	-0.752
-0.306	0.005	-0.385	-0.363	-1.121	-1.258	-1.105	-1.153	0.027	-1.103	-0.004	-0.134	-0.162	0.150	-0.943	-1.034	-1.236	0.164	-0.304	-0.422	-0.558	-0.507	-0.450	-1.326	-1.223	-1.296	-1.575	-0.746	-1.166
-1.563	-1.744	-1.549	-1.223	0.082	-0.977	-0.855	-1.060	-0.469	1.285	-0.899	-0.900	-0.704	1.022	-0.834	-0.400	-0.981	0.043	-0.381	-1.399	-1.672	-1.409	-1.064	1.793	-0.829	-0.745	-1.071	0.516	0.350
-1.123	-1.025	-1.128	-0.975	1.212	-0.449	-0.978	-0.928	3.397	0.963	0.399	0.221	-0.126	0.158	-0.809	-0.803	-0.584	2.575	0.816	-1.086	-1.339	-1.113	-0.899	-0.213	-0.989	-1.201	-1.351	1.061	-0.207
-1.569	0.393	-1.535	-1.231	1.987	-0.279	-0.738	-1.022	0.060	0.676	-0.169	-0.185	-0.482	1.628	0.343	-0.063	-0.411	1.576	-0.282	-1.387	0.222	-1.345	-1.066	1.381	-0.537	-0.873	-1.321	0.115	-0.378
-1.406	-1.262	-1.349	-1.120	-1.362	-0.319	-0.363	-0.699	1.931	0.968	0.017	-0.128	-0.370	0.565	0.776	0.372	0.616	2.586	0.766	-1.295	-1.049	-1.240	-1.002	-1.489	-0.550	-0.635	-0.970	0.616	0.053
-1.323	0.400	-1.311	-1.095	0.572	-0.504	-0.841	-0.873	-0.345	0.877	-0.613	-0.597	-0.575	1.159	-0.443	-0.489	-0.399	0.272	0.167	-1.212	0.957	-1.197	-0.966	0.982	-0.558	-0.854	-0.752	-0.037	0.452
-0.799	-0.058	-0.830	-0.741	-1.064	-1.086	-0.649	-0.686	-1.078	-0.868	-0.478	-0.512	-0.488	0.746	-0.908	-0.373	-0.459	0.156	-0.623	-0.815	-0.299	-0.871	-0.727	-0.148	-1.035	-0.613	-0.685	-0.809	-0.971
-1.447	-0.456	-1.365	-1.149	0.728	0.700	2.812	-0.133	1.092	2.502	-0.280	-0.485	-0.498	0.835	3.383	9.008	3.472	2.592	2.178	-1.233	-0.493	-1.243	-0.976	0.693	1.158	4.697	0.919	2.145	1.858
-0.382	-0.651	-0.436	-0.433	0.139	-0.985	-0.656	-0.523	-0.808	-0.888	-0.607	-0.690	-0.484	0.307	-1.109	-0.531	-0.508	0.242	-0.714	-0.581	-0.963	-0.643	-0.572	-0.121	-1.167	-0.807	-0.849	-0.837	-1.099
-1.487	-1.081	-1.365	-1.168	0.105	0.923	-0.034	-0.521	0.330	3.825	0.436	0.149	-0.327	3.387	3.808	0.822	0.950	0.589	6.854	-1.352	-1.628	-1.330	-1.047	-0.511	-0.068	-0.617	-1.015	-1.045	1.354
-0.516	-0.644	-0.526	-0.523	-0.330	-0.683	-0.691	-0.675	-0.334	-0.518	-0.558	-0.557	-0.454	-0.728	-0.407	-0.452	-0.621	-0.808	-0.563	-0.447	-0.401	-0.522	-0.473	-0.647	-0.445	-0.488	-0.426	-0.457	-0.435
-0.169	-1.941	-0.167	-0.272	2.328	0.007	-0.251	0.429	2.157	0.512	0.018	-0.106	-0.169	2.118	0.163	-0.672	-0.576	0.626	0.895	-0.453	-2.146	-0.473	-0.483	0.558	-0.740	-0.895	-0.617	-0.308	-0.666
-0.360	-0.300	-0.361	-0.422	0.212	-0.168	-0.626	-0.664	-0.341	-0.400	-0.504	-0.538	-0.439	-0.582	-0.495	-0.370	-0.586	-0.370	-0.358	-0.420	-0.139	-0.458	-0.454	-0.152	-0.255	-0.475	-0.538	-0.197	-0.264
-0.760	0.391	-0.747	-0.720	0.984	-0.203	-0.538	-0.685	0.111	1.027	-0.289	-0.390	-0.345	1.109	-0.470	-0.200	-0.695	-0.288	0.068	-0.654	1.055	-0.676	-0.624	1.022	-0.551	-0.463	-0.811	-0.224	0.253
-0.223	-0.797	-0.225	-0.383	0.813	0.931	0.352	0.540	0.476	0.881	-0.430	-0.658	-0.602	-0.082	0.574	0.262	0.330	0.096	0.305	-0.153	-0.405	-0.315	-0.467	0.930	1.429	1.024	0.855	1.012	0.977
-0.604	-0.846	-0.618	-0.601	0.062	-0.619	-0.593	-0.781	0.975	-0.442	-0.642	-0.705	-0.531	-0.357	-0.411	-0.392	-0.773	-0.099	-0.449	-0.538	-0.126	-0.580	-0.549	0.234	-0.343	-0.218	-0.582	0.773	-0.261
-0.501	0.584	-0.502	-0.536	-0.614	-0.187	-0.359	-0.296	0.432	0.176	-0.387	-0.328	-0.426	0.024	-0.031	-0.161	0.184	-0.116	0.252	-0.505	0.785	-0.470	-0.537	-0.086	-0.051	-0.138	0.090	0.115	0.480
0.145	-0.942	0.156	-0.008	1.197	0.560	0.136	0.560	1.110	0.094	0.383	0.469	0.053	-0.511	1.041	0.413	0.719	0.451	0.395	0.015	-1.210	0.064	-0.135	-0.204	0.347	-0.057	0.382	0.404	0.043
0.140	1.100	0.107	0.022	-0.471	-0.346	-0.725	-0.499	-0.462	-0.586	-0.119	-0.290	-0.145	-0.724	-0.408	-0.685	-0.517	0.037	-0.341	-0.033	0.559	-0.130	-0.135	-0.914	-0.494	-0.864	-0.687	-0.612	-0.636
-0.243	-1.053	-0.298	-0.293	-1.622	-1.019	-0.705	-0.578	-1.553	-1.362	0.002	-0.082	-0.088	-0.853	-0.843	-0.607	-0.158	-1.192	-0.892	0.019	-0.541	-0.082	-0.088	-1.391	-0.829	-0.658	-0.221	-1.412	-1.212
-0.192	-0.230	-0.221	-0.284	0.415	-0.430	-0.615	-0.544	-0.633	-0.807	-0.397	-0.379	-0.332	-0.385	-0.590	-0.436	-0.394	-0.206	-0.747	-0.242	0.043	-0.288	-0.318	0.067	-0.503	-0.643	-0.540	-0.360	-0.992
-0.553	-0.337	-0.584	-0.579	0.579	-0.639	-0.802	-0.503	0.322	0.503	-0.141	-0.226	-0.349	-0.536	-0.764	-0.682	0.550	0.201	-0.146	-0.712	-0.774	-0.748	-0.677	-0.804	-1.021	-1.066	-0.849	-1.089	-0.564
-1.232	0.151	-1.229	-1.024	0.429	-0.972	-1.028	-1.056	-1.684	0.864	-0.253	-0.363	-0.446	1.362	-0.606	-0.881	-1.061	-0.306	0.708	-1.107	0.100	-1.144	-0.904	-0.034	-1.014	-1.206	-1.381	-1.563	0.329
-0.717	-1.500	-0.726	-0.688	-0.464	-0.551	-0.588	-0.397	-0.699	0.428	-0.626	-0.688	-0.540	-0.296	-0.680	-0.496	-0.796	-0.488	-0.470	-0.664	-1.386	-0.723	-0.646	0.470	-0.440	-0.383	-0.458	-0.208	0.200
-2.028	-1.362	-1.983	-1.453	1.468	-0.543	-1.114	-1.261	0.432	2.179	-0.653	-0.649	-0.671	1.049	-0.817	-1.057	-1.912	0.732	0.115	-1.725	-0.999	-1.692	-1.221	1.140	-0.852	-1.305	-1.744	0.051	0.547
-0.553	0.286	-0.607	-0.557	-1.154	-1.211	-0.815	-0.805	-0.265	-0.854	-0.767	-0.832	-0.564	-0.653	-1.082	-0.702	-0.810	-0.735	-0.855	-0.606	1.165	-0.675	-0.584	-0.879	-1.053	-0.756	-0.613	-0.334	-0.840
-1.206	0.026	-1.153	-1.013	0.294	-0.140	-0.342	-0.480	0.487	0.060	-0.811	-0.662	-0.628	0.672	-0.196	-0.053	-0.110	-0.539	-0.085	-1.140	0.188	-1.043	-0.912	1.031	-0.153	-0.037	-0.260	-0.451	0.053
-1.032	0.000	-1.011	-0.906	0.251	-0.351	-0.738	-0.951	1.479	0.285	-0.181	-0.279	-0.378	0.185	-0.184	-0.102	-0.516	0.793	-0.130	-0.978	-0.385	-0.983	-0.839	-0.458	-0.672	-0.922	-1.256	-0.121	-0.467
-0.706	-0.223	-0.691	-0.689	1.268	-0.050	-0.227	-0.363	-0.039	0.340	-0.358	-0.352	-0.433	0.499	-0.133	-0.081	0.354	-0.592	0.017	-0.647	0.583	-0.647	-0.630	1.596	0.075	0.072	0.109	-0.153	0.389
-0.501	-0.174	-0.533	-0.535	-0.824	-0.685	-0.782	-0.766	-0.765	-0.303	-1.029	-0.998	-0.684	-1.194	-0.838	-0.670	-1.011	-0.972	-0.922	-0.616	0.295	-0.646	-0.591	-0.612	-0.368	-0.376	-0.459	0.133	-0.670
-0.791	0.458	-0.802	-0.734	-0.624	-0.731	-0.470	-0.771	-1.184	0.353	-0.616	-0.628	-0.526	0.690	-0.553	-0.247	-0.869	-0.588	-0.498	-0.674	0.565	-0.693	-0.637	1.644	-0.220	0.191	-0.484	-0.116	0.242
-1.234	-0.535	-1.213	-1.036	0.522	-0.384	-0.570	-0.802	-0.830	1.112	-0.008	-0.059	-0.384	2.268	0.215	-0.155	-0.254	1.484	0.319	-1.080	-0.685	-1.059	-0.902	0.628	-0.494	-0.682	-0.932	-0.594	0.041
-0.425	0.342	-0.404	-0.496	0.211	0.314	0.222	0.291	-0.279	1.119	-0.226	-0.077	-0.437	1.955	0.834	0.633	1.808	0.109	0.792	-0.608	-0.034	-0.543	-0.620	-0.161	-0.186	-0.242	-0.062	-1.091	0.051
0.038	0.084	0.241	-0.071	-1.279	2.252	2.653	0.749	-0.393	2.109	-0.153	0.264	-0.244	-0.581	2.735	3.697	1.803	0.619	3.471	-0.201	-0.317	-0.008	-0.301	-1.878	1.049	1.947	0.546	-0.813	1.343
-1.026	0.209	-0.960	-0.911	1.126	0.492	-0.302	-0.470	0.403	2.128	-0.258	-0.408	-0.449	1.612	0.670	0.464	0.591	0.282	1.133	-1.057	-0.476	-1.031	-0.889	-0.104	-0.314	-0.684	-0.810	-0.837	0.350
-1.533	-0.804	-1.487	-1.205	1.325	-0.423	-0.596	-0.765	-0.593	1.917	-0.861	-0.748	-0.690	0.406	-0.187	0.023	-0.226	-0.419	0.004	-1.374	-0.986	-1.273	-1.047	1.753	-0.114	-0.127	-0.146	0.041	0.983
-0.624	0.521	-0.635	-0.615	0.094	-0.489	-0.696	-0.743	-0.451	-0.121	-0.337	-0.428	-0.342	0.254	-0.023	-0.449	-0.662	-0.939	0.023	-0.538	0.077	-0.587	-0.523	0.772	-0.091	-0.584	-0.641	-0.748	0.081
-1.469	-0.821	-1.368	-1.164	-0.124	0.378	0.048	-0.666	-1.848	1.251	-0.332	0.205	-0.514	3.767	2.352	2.012	1.829	0.399	0.683	-1.418	-1.400	-1.307	-1.072	-0.634	-0.422	-0.565	-1.158	-2.018	-0.372
-0.771	-1.969	-0.767	-0.715	-0.187	-0.710	-0.673	-0.585	-0.528	-0.236	-0.953	-0.872	-0.656	-0.333	-0.569	-0.555	-0.865	-0.859	-0.600	-0.714	-1.579	-0.700	-0.650	0.982	-0.097	-0.297	-0.381	0.186	0.071
0.106	-1.953	0.095	-0.040	0.977	0.105	-0.005	0.228	0.162	0.173	-0.405	-0.464	-0.355	-1.073	-0.710	-0.102	0.033	-0.174	-0.373	-0.118	-1.578	-0.133	-0.237	-0.047	-0.480	-0.078	0.114	-0.019	-0.215
-0.215	-0.674	-0.242	-0.288	-1.793	-0.589	-0.099	-0.539	-1.421	-0.647	-0.870	-0.813	-0.564	-0.374	0.403	0.586	-0.230	-1.024	0.106	-0.416	-0.476	-0.454	-0.436	-1.308	-0.007	0.281	-0.378	-1.378	-0.424
-0.079	-0.484	-0.145	-0.188	-0.605	-0.814	-0.936	-0.967	-0.721	-0.552	-0.673	-0.678	-0.493	-0.813	-0.911	-0.754	-1.132	-0.977	-0.789	-0.161	-0.341	-0.207	-0.272	-0.730	-0.758	-0.916	-0.967	-0.868	-0.671
0.276	-0.674	0.313	0.056	1.325	1.446	0.314	0.939	0.691	0.265	0.093	-0.035	-0.011	0.654	0.914	0.005	1.748	0.361	0.449	-0.033	-1.195	-0.041	-0.207	0.273	0.216	-0.365	0.421	-0.502	-0.341
-0.550	-1.395	-0.530	-0.566	0.728	-0.175	-0.756	-0.518	0.249	0.271	-0.738	-0.442	-0.552	-0.089	-0.051	-0.719	-0.600	0.735	0.132	-0.606	-1.280	-0.473	-0.589	0.452	0.027	-0.829	-0.498	0.918	0.469
0.449	-1.246	0.413	0.304	-0.124	-0.184	-0.219	0.268	0.016	-0.789	-0.337	-0.442	-0.273	-0.607	-0.577	-0.501	0.143	-0.466	-0.554	0.255	-1.046	0.209	0.074	-0.441	-0.377	-0.486	0.347	-0.287	-0.733
-0.686	-0.609	-0.710	-0.657	0.621	-0.822	-0.663	-0.591	-1.724	-0.474	0.158	0.194	-0.131	-0.154	-0.652	-0.175	0.206	-0.841	-0.033	-0.608	-0.032	-0.628	-0.586	-0.231	-0.963	-0.803	-0.683	-1.921	-0.582
-0.765	-0.907	-0.778	-0.725	0.002	-0.671	-0.674	-0.520	-0.283	-0.587	-0.827	-0.852	-0.608	-0.635	-0.573	-0.582	-0.518	-0.669	-0.834	-0.817	-0.595	-0.813	-0.735	-0.586	-0.569	-0.634	-0.454	-0.363	-0.902
-0.808	-1.372	-0.781	-0.767	1.425	0.175	-0.532	-0.025	-0.148	-0.294	-0.241	-0.502	-0.308	1.408	0.531	-0.332	1.273	-0.574	-0.133	-0.900	-1.612	-0.915	-0.784	0.190	-0.458	-0.889	-0.434	-1.291	-0.892
-1.246	-1.702	-1.265	-1.041	-0.274	-1.199	-1.114	-1.261	0.333	0.201	-0.744	-0.815	-0.617	-0.333	-1.107	-1.057	-1.912	0.269	-0.217	-1.169	-1.884	-1.212	-0.944	-0.393	-1.158	-1.305	-1.744	0.330	-0.135
-0.765	-0.460	-0.753	-0.730	0.913	-0.180	-0.859	-0.781	-0.608	0.400	-0.436	-0.460	-0.417	-0.126	-0.454	-0.673	-0.369	0.276	-0.102	-0.722	0.176	-0.732	-0.663	0.391	-0.477	-0.935	-0.770	-0.512	-0.165
-0.348	-0.783	-0.339	-0.405	-0.682	-0.175	-0.500	-0.465	-0.123	-0.063	-0.688	-0.582	-0.521	-0.572	-0.550	-0.556	-0.683	0.060	-0.721	-0.370	-0.628	-0.300	-0.416	-0.051	0.003	-0.303	-0.204	1.048	-0.153
-0.958	-1.004	-0.976	-0.851	-1.310	-1.003	-0.832	-1.058	-1.505	-0.838	-0.551	-0.524	-0.497	-0.165	-0.428	-0.388	-1.002	-0.464	-0.542	-0.894	-0.807	-0.877	-0.772	-1.085	-0.839	-0.837	-1.224	-0.971	-0.900
-0.632	-1.079	-0.570	-0.631	1.340	0.478	-0.649	-0.487	0.669	2.208	-0.032	0.077	-0.336	1.042	1.225	-0.133	-0.113	1.298	2.127	-0.645	-1.492	-0.625	-0.652	0.439	-0.016	-0.853	-0.824	-0.281	1.088
0.233	-0.121	0.242	0.098	-1.065	0.234	0.021	-0.343	-0.247	0.302	0.061	0.200	-0.020	-0.417	1.301	0.700	0.563	1.575	2.106	-0.004	-0.034	-0.005	-0.124	-1.431	-0.014	-0.106	-0.465	-0.079	0.456
0.089	-0.956	0.082	-0.042	0.237	-0.042	-0.049	0.165	-0.320	-0.282	-0.593	-0.369	-0.421	-0.445	-0.140	-0.025	0.508	-0.726	-0.479	-0.087	-0.948	0.040	-0.200	-0.034	0.122	0.183	0.689	-0.339	-0.394
-0.110	-0.321	-0.158	-0.199	-1.203	-0.768	-0.753	-0.918	-1.235	-0.991	-0.560	-0.640	-0.415	-1.400	-0.534	-0.467	-0.967	-0.877	-0.687	-0.192	-0.523	-0.300	-0.272	-1.544	-0.457	-0.555	-0.828	-0.890	-0.764
-0.320	0.347	-0.348	-0.385	1.219	-0.539	-0.721	-0.579	2.657	-0.273	0.054	0.003	-0.122	-0.008	-0.785	-0.411	-0.043	1.085	-0.855	-0.436	-0.255	-0.489	-0.463	-0.117	-0.914	-0.916	-0.786	0.477	-1.085
-1.677	0.328	-1.593	-1.282	-0.164	0.495	0.543	-0.702	1.497	2.806	-0.763	-0.803	-0.662	1.795	1.602	1.512	-0.255	0.308	3.018	-1.485	0.658	-1.464	-1.108	1.342	1.123	1.275	-0.545	0.681	3.580
-1.248	-0.918	-1.160	-1.008	0.771	1.052	4.039	0.764	2.686	4.272	1.512	0.597	0.209	1.309	3.930	12.062	6.644	1.805	9.843	-1.086	-1.007	-1.078	-0.878	-0.139	0.146	2.633	0.646	0.335	2.323
-0.845	-1.444	-0.868	-0.776	0.084	-1.008	-0.865	-0.800	0.067	-0.248	-0.649	-0.711	-0.546	0.659	-0.921	-0.660	-0.578	0.404	-0.822	-0.885	-1.526	-0.923	-0.772	0.076	-1.046	-0.964	-0.906	-0.067	-0.898
-0.277	-0.918	-0.274	-0.330	-0.179	-0.367	0.052	-0.363	0.038	-0.103	-0.484	-0.518	-0.386	0.514	-0.296	-0.047	-0.366	0.865	-0.119	-0.310	-0.842	-0.285	-0.357	0.676	-0.182	0.138	-0.265	1.533	0.132
-0.533	-0.314	-0.564	-0.553	-0.698	-0.711	-0.627	-0.660	0.578	-0.073	-0.668	-0.684	-0.524	-0.507	-0.550	-0.396	-0.628	-0.309	-0.495	-0.554	-0.074	-0.615	-0.556	-0.467	-0.480	-0.373	-0.494	0.343	-0.145
0.770	0.040	0.676	0.640	-1.558	-0.608	-0.468	-0.547	0.118	-1.433	0.266	0.303	0.138	-1.198	0.063	-0.044	-0.113	-0.646	-0.860	0.404	0.389	0.388	0.266	-1.955	-0.529	-0.403	-0.460	-0.604	-1.341
-0.587	-1.523	-0.623	-0.586	-0.231	-0.983	-0.867	-0.755	-0.808	-0.528	-0.804	-0.838	-0.595	-0.504	-0.876	-0.780	-0.895	-0.713	-0.478	-0.647	-1.182	-0.690	-0.611	-0.213	-0.833	-0.891	-0.675	-0.625	-0.275
-0.916	-1.472	-0.958	-0.819	-1.508	-1.272	-1.075	-1.091	-1.348	-0.760	-0.445	-0.523	-0.479	-0.299	-1.080	-0.996	-1.332	-0.505	-0.427	-0.809	-1.217	-0.869	-0.721	-0.669	-1.089	-1.216	-1.142	-0.263	-0.393
-0.675	0.207	-0.653	-0.668	0.892	0.185	-0.256	-0.297	0.662	0.245	0.348	0.524	-0.044	0.797	-0.080	0.324	-0.045	1.624	0.478	-0.610	0.087	-0.546	-0.591	0.150	-0.414	-0.367	-0.540	0.432	-0.226
-0.507	0.681	-0.499	-0.541	0.344	-0.054	-0.440	-0.533	-0.951	0.682	-0.398	-0.451	-0.413	1.432	0.350	-0.021	-0.072	-0.212	0.587	-0.556	0.489	-0.592	-0.575	0.562	-0.130	-0.496	-0.497	-1.023	0.381
0.239	0.109	0.145	0.100	-0.864	-0.962	-0.870	-0.761	-1.082	-1.436	-0.798	-0.781	-0.521	-1.135	-0.977	-0.783	-0.869	-0.158	-0.860	-0.060	0.023	-0.148	-0.173	-1.221	-0.981	-0.933	-0.868	-0.412	-1.279
-0.944	-2.227	-0.955	-0.845	-0.030	-0.890	-0.796	-0.823	-1.571	0.170	-0.838	-0.861	-0.634	0.256	-0.875	-0.692	-1.046	-0.968	-0.633	-0.966	-2.222	-1.000	-0.819	0.492	-0.817	-0.803	-1.043	-1.310	-0.385
0.239	-0.544	0.175	0.088	0.156	-0.483	-0.787	-0.286	-0.115	-0.892	-0.483	-0.481	-0.353	-0.653	-0.658	-0.816	-0.441	-0.852	-0.789	-0.033	-0.436	-0.079	-0.153	-0.472	-0.576	-0.986	-0.453	-0.803	-1.089
-0.513	-1.604	-0.540	-0.542	0.458	-0.654	-0.614	-0.307	0.538	-0.460	-0.610	-0.592	-0.504	0.334	-0.764	-0.499	0.099	-0.158	-0.585	-0.573	-1.633	-0.604	-0.582	0.269	-0.811	-0.709	-0.315	-0.119	-0.899
-0.865	-1.065	-0.895	-0.802	0.301	-0.888	-0.817	-0.595	-0.896	0.551	-0.714	-0.736	-0.467	2.637	-0.238	-0.575	0.654	1.243	0.374	-1.018	-1.441	-1.049	-0.850	-0.472	-1.092	-1.116	-1.088	-1.614	-0.599
-0.984	-0.962	-1.007	-0.868	-0.600	-1.161	-1.114	-1.261	0.425	-0.432	-0.268	-0.352	-0.404	0.557	-0.855	-1.057	-1.912	1.465	-1.055	-0.978	-1.054	-1.014	-0.830	-1.085	-1.184	-1.305	-1.744	-0.308	-1.235
-1.548	-1.125	-1.545	-1.215	-0.354	-1.166	-1.114	-1.261	-0.327	0.629	-0.666	-0.708	-0.637	0.710	-0.976	-1.057	-1.912	0.795	-0.150	-1.450	-1.405	-1.455	-1.091	-0.708	-1.168	-1.305	-1.744	-0.499	-0.303
-1.198	-0.286	-1.126	-1.002	0.045	0.474	0.526	-0.303	-0.520	2.601	0.093	0.132	-0.283	1.938	3.496	2.909	2.075	2.209	5.338	-1.036	-0.209	-1.018	-0.861	-0.099	0.259	0.366	-0.236	-0.463	1.786
-0.317	0.681	-0.410	-0.365	-2.407	-1.609	-1.094	-1.213	-1.520	-1.481	-0.837	-0.873	-0.571	-1.207	-1.297	-1.004	-1.612	-0.534	-1.068	-0.469	0.544	-0.568	-0.477	-2.239	-1.398	-1.266	-1.603	-0.979	-1.413
-0.374	-1.448	-0.439	-0.415	-0.638	-1.261	-0.999	-0.918	-1.261	-0.208	-0.419	-0.538	-0.408	0.497	-1.067	-0.852	-0.711	-1.197	-0.168	-0.546	-1.550	-0.612	-0.544	-0.708	-1.270	-1.172	-1.137	-1.807	-0.596
-0.771	-1.016	-0.759	-0.719	-0.410	-0.432	-0.339	-0.652	-2.351	-0.089	-0.255	-0.477	-0.386	0.105	0.659	0.903	0.863	0.134	0.374	-0.807	-1.298	-0.837	-0.726	-0.888	-0.593	-0.515	-0.786	-1.761	-0.536
-1.148	-0.972	-1.161	-0.959	-0.262	-1.087	-1.094	-1.199	-0.396	-0.328	0.070	-0.092	-0.306	2.448	-0.753	-1.004	-1.522	0.585	-0.123	-0.910	-0.732	-0.948	-0.779	0.864	-0.968	-1.272	-1.585	0.052	-0.386
-0.686	-0.488	-0.712	-0.667	0.098	-0.813	-0.636	-0.426	-1.078	-0.262	-0.577	-0.556	-0.494	-0.045	-0.937	-0.401	0.009	-0.190	-0.803	-0.674	-0.698	-0.680	-0.631	-0.003	-0.955	-0.576	-0.072	-0.531	-0.718
-0.658	-0.442	-0.687	-0.642	0.309	-0.923	-0.819	-0.860	-0.341	-0.708	-0.791	-0.918	-0.569	0.263	-0.933	-0.541	-0.900	1.312	-0.683	-0.765	0.131	-0.824	-0.687	0.142	-0.980	-0.883	-1.088	0.484	-1.007
-0.519	-0.788	-0.541	-0.543	-1.106	-0.602	-0.632	-0.834	-0.528	-1.141	-0.602	-0.583	-0.484	-0.348	-0.188	-0.355	-0.869	-0.035	-0.782	-0.604	-0.990	-0.613	-0.586	-0.997	-0.567	-0.623	-1.011	-0.677	-1.156
-0.385	0.493	-0.409	-0.419	-0.631	-0.726	-0.724	-0.523	-0.429	0.010	1.175	1.114	0.293	-0.823	-0.423	-0.336	0.936	1.595	0.786	-0.521	-0.354	-0.542	-0.529	-1.686	-1.045	-1.056	-1.017	-1.167	-0.844
-1.251	-0.249	-1.286	-1.042	-1.910	-1.532	-1.114	-1.261	-0.579	0.237	-0.185	-0.315	-0.410	-1.775	-1.047	-1.057	-1.912	2.111	-0.796	-1.304	-0.789	-1.340	-1.013	-2.680	-1.443	-1.305	-1.744	-1.603	-1.016
-0.345	-0.688	-0.388	-0.394	-1.205	-0.960	-0.628	-0.648	0.063	-0.868	-0.761	-0.679	-0.540	-0.581	-0.537	-0.288	-0.547	-0.243	-0.621	-0.494	-0.598	-0.490	-0.492	-0.993	-0.659	-0.459	-0.491	0.199	-0.800
-0.538	0.063	-0.553	-0.551	-0.036	-0.444	-0.589	-0.202	0.611	-0.378	-0.187	-0.276	-0.288	0.158	-0.429	-0.592	-0.064	-0.667	-0.173	-0.378	0.436	-0.450	-0.425	0.461	-0.318	-0.645	-0.101	-0.376	-0.122
-0.470	-0.160	-0.448	-0.492	0.234	0.028	-0.110	-0.276	0.414	0.132	-0.033	-0.183	-0.221	-0.029	-0.356	-0.162	-0.231	-0.329	-0.079	-0.269	-0.169	-0.334	-0.356	0.448	-0.105	-0.024	-0.199	0.183	0.197
-1.206	-0.470	-1.195	-1.022	0.892	-0.606	-0.894	-0.758	0.446	0.007	-0.690	-0.667	-0.616	0.892	-0.725	-0.792	-0.692	0.188	-0.500	-1.210	-0.400	-1.196	-0.964	0.400	-0.823	-1.007	-0.893	0.143	-0.562
-0.289	0.756	-0.204	-0.357	0.273	0.832	-0.022	0.054	0.140	1.459	-0.765	-0.680	-0.555	-0.596	0.275	-0.220	-0.566	0.556	0.152	-0.356	0.567	-0.232	-0.424	0.111	1.182	0.211	-0.031	1.984	1.310
0.324	-1.483	0.255	0.201	-1.034	-0.796	-0.375	-0.447	-1.651	-1.068	-0.692	-0.663	-0.447	-0.916	-0.733	-0.447	-0.717	-1.331	-0.808	0.230	-1.588	0.192	0.092	-0.445	-0.227	0.115	-0.169	-0.939	-0.510
-0.649	-0.081	-0.677	-0.645	-0.544	-0.669	-0.779	-0.902	-1.016	-0.316	-0.660	-0.703	-0.510	-0.508	-0.458	-0.379	-0.818	-0.530	-0.330	-0.614	-0.112	-0.656	-0.587	-0.191	-0.421	-0.600	-0.692	-0.591	-0.222
-0.635	-0.218	-0.603	-0.633	-0.194	0.209	-0.281	-0.451	0.567	0.048	-0.393	-0.385	-0.415	0.610	0.918	0.913	0.981	0.894	0.370	-0.625	0.231	-0.627	-0.614	0.356	0.320	0.040	-0.012	0.802	-0.016
-1.114	-0.421	-1.108	-0.948	-1.125	-0.857	-0.390	-0.985	0.556	0.050	-0.175	-0.059	-0.386	-0.786	0.320	0.856	-0.176	0.612	0.309	-0.991	-0.196	-0.948	-0.838	-1.625	-0.728	-0.382	-1.200	-0.053	-0.324
-0.135	-1.425	-0.168	-0.244	0.007	-0.326	-0.626	-0.600	-1.647	0.091	-0.703	-0.730	-0.504	-0.969	-0.476	-0.509	-0.833	-0.827	-0.401	-0.192	-1.518	-0.225	-0.306	-0.056	-0.044	-0.462	-0.518	-0.842	0.179
-0.161	-1.253	-0.139	-0.266	0.621	0.281	-0.128	-0.114	0.549	0.033	-0.535	-0.423	-0.424	-0.396	-0.131	-0.214	-0.557	-0.257	-0.331	-0.267	-1.391	-0.183	-0.341	0.229	0.099	-0.069	-0.361	0.265	-0.120
-1.120	-0.409	-1.105	-0.971	0.693	-0.366	-0.892	-0.767	0.359	0.890	-0.571	-0.606	-0.556	0.286	-0.641	-0.774	-0.676	0.705	-0.013	-1.055	-0.462	-1.051	-0.887	0.361	-0.701	-0.990	-0.895	0.249	0.223
-0.243	-0.528	-0.305	-0.308	-0.847	-1.030	-0.668	-0.628	-1.151	-0.858	-0.406	-0.407	-0.344	-0.336	-0.806	-0.308	-0.444	-0.692	-0.491	-0.234	-0.338	-0.251	-0.302	-0.209	-0.783	-0.449	-0.271	-0.638	-0.427
0.060	-1.353	0.022	-0.039	0.192	-0.532	-0.396	-0.074	0.961	-1.178	0.421	0.444	0.175	0.016	-0.625	-0.275	0.172	0.256	-0.881	0.104	-1.428	0.093	-0.013	-0.117	-0.647	-0.522	-0.090	0.261	-1.286
-1.046	-0.890	-1.043	-0.924	0.636	-0.514	-1.031	-0.947	-0.086	0.241	-0.771	-0.820	-0.626	-0.176	-0.973	-0.963	-1.106	-0.668	-0.368	-0.983	-0.956	-1.006	-0.852	0.076	-0.883	-1.178	-1.064	-0.462	-0.070
0.248	-0.879	0.226	0.084	-0.899	0.100	-0.298	-0.287	0.253	-0.528	-0.625	-0.292	-0.450	-0.973	0.368	0.151	-0.040	-0.802	-0.223	0.029	-1.036	0.206	-0.127	-0.822	0.689	0.326	0.354	0.086	-0.018
-0.428	1.088	-0.437	-0.450	-1.232	-0.550	-0.432	-0.736	-1.086	-0.369	-0.578	-0.703	-0.480	-0.623	-0.142	-0.057	-0.503	-0.834	-0.147	-0.428	0.916	-0.494	-0.451	-0.423	0.579	0.570	0.052	-0.121	0.659
-0.797	1.811	-0.832	-0.737	-1.957	-1.254	-0.909	-1.180	0.209	-0.923	-1.025	-0.894	-0.698	-1.128	-0.503	-0.516	-1.405	-0.626	-0.659	-0.867	1.313	-0.817	-0.752	-1.767	-0.706	-0.783	-1.427	-0.084	-0.724
-0.825	3.376	-0.872	-0.762	-1.320	-1.299	-1.052	-1.095	0.122	-0.640	-0.654	-0.681	-0.547	-0.893	-1.042	-0.950	-1.358	-0.167	-0.477	-0.809	2.620	-0.858	-0.720	-1.420	-1.178	-1.194	-1.287	0.017	-0.602
-1.294	-0.786	-1.307	-1.066	-0.833	-1.202	-0.907	-0.831	-0.951	0.175	-0.685	-0.817	-0.609	1.532	-0.842	-0.664	-0.352	0.398	-0.096	-1.192	-1.060	-1.236	-0.957	0.790	-1.011	-0.961	-0.645	-0.232	-0.120
-0.028	0.456	-0.090	-0.146	-0.402	-0.661	-0.931	-0.772	-1.075	-0.630	-0.527	-0.593	-0.402	0.116	-0.650	-0.815	-0.285	-0.957	-0.329	-0.194	0.749	-0.268	-0.290	-0.161	-0.654	-1.006	-0.532	-1.091	-0.431
0.026	1.990	0.024	-0.088	-1.005	-0.008	0.270	-0.125	-1.713	-0.214	-0.252	-0.376	-0.228	-0.244	0.166	0.219	-0.273	-1.052	-0.078	-0.107	2.418	-0.142	-0.205	-1.063	-0.074	0.164	-0.493	-1.634	-0.331
-0.138	-0.858	-0.189	-0.226	-0.151	-0.720	-0.524	-0.299	-0.345	-0.878	-0.292	-0.430	-0.289	-0.190	-0.726	-0.457	-0.124	-0.189	-0.756	-0.294	-1.078	-0.391	-0.346	-0.200	-0.796	-0.570	-0.341	-0.599	-1.043
-0.484	-0.988	-0.550	-0.507	-1.216	-1.333	-0.982	-0.975	-0.969	-0.745	-1.045	-1.043	-0.689	-1.258	-1.147	-0.841	-1.302	-0.404	-0.920	-0.635	-0.863	-0.697	-0.592	-1.256	-1.122	-1.005	-1.127	0.000	-0.892
-0.802	-0.256	-0.742	-0.754	-0.031	0.533	0.828	-0.525	0.884	1.968	-0.586	-0.246	-0.526	-0.126	1.880	1.885	0.218	-0.072	1.844	-0.763	0.371	-0.598	-0.716	0.102	1.465	2.260	0.109	0.658	2.533
-0.107	1.042	-0.141	-0.184	-1.133	-0.687	-0.525	-0.657	-0.141	-1.205	0.106	-0.018	-0.009	-0.896	0.067	0.060	-0.280	0.658	-0.268	-0.261	0.108	-0.276	-0.307	-1.694	-0.700	-0.653	-0.815	-0.384	-1.148
-1.035	0.133	-1.039	-0.901	0.757	-0.845	-0.508	-0.470	-0.272	0.227	-0.120	-0.173	-0.376	2.997	-0.649	-0.439	-0.076	1.720	-0.089	-0.991	0.615	-0.999	-0.839	0.838	-0.964	-0.739	-0.719	-0.029	-0.358
-0.263	-0.432	-0.323	-0.322	-1.721	-1.119	-0.570	-0.976	-1.184	-0.913	-0.873	-0.986	-0.589	-0.260	-0.547	-0.037	-1.039	-0.112	-0.584	-0.482	0.349	-0.565	-0.489	-0.975	-0.658	-0.203	-0.987	-0.216	-0.663
-0.351	-1.204	-0.289	-0.405	-0.623	0.573	0.610	-0.235	-0.787	0.183	-0.731	-0.234	-0.527	-0.513	1.700	1.646	0.309	-0.954	1.421	-0.389	-1.298	-0.067	-0.424	-0.305	2.101	2.399	0.631	-0.423	1.874
-0.987	1.379	-0.986	-0.875	0.015	-0.606	-0.815	-0.845	0.311	0.070	-0.561	-0.677	-0.521	0.049	-0.845	-0.698	-0.900	0.126	-0.444	-0.832	1.548	-0.871	-0.746	0.768	-0.728	-0.765	-0.810	0.822	-0.137
-0.740	-1.014	-0.745	-0.706	0.351	-0.497	-0.571	-0.506	0.260	-0.158	-0.537	-0.584	-0.477	-0.126	-0.737	-0.359	-0.281	-0.456	-0.382	-0.749	-0.730	-0.785	-0.683	0.286	-0.611	-0.440	-0.282	-0.383	-0.324
-0.746	-0.195	-0.769	-0.703	-0.207	-0.841	-0.783	-0.728	0.082	-0.490	-0.045	-0.090	-0.293	-0.220	-0.828	-0.644	-0.425	0.288	-0.882	-0.683	-0.523	-0.718	-0.653	-0.616	-0.949	-0.916	-0.748	-0.260	-1.056
-1.001	-0.079	-0.934	-0.877	0.037	0.196	-0.313	-0.580	0.403	0.299	0.163	0.279	-0.291	0.143	0.577	0.055	0.300	1.754	-0.180	-0.908	-0.445	-0.862	-0.801	-0.485	-0.018	-0.386	-0.538	0.063	-0.447
-0.152	0.593	-0.198	-0.267	-1.195	-0.412	-0.603	-0.709	-0.644	-0.596	-0.242	-0.136	-0.298	-0.535	-0.079	-0.030	-0.304	-0.029	-0.297	-0.304	0.710	-0.286	-0.385	-1.396	-0.517	-0.608	-0.802	-0.735	-0.759
-0.357	-0.716	-0.395	-0.405	-0.150	-0.798	-0.625	-0.845	0.724	-0.723	-0.615	-0.653	-0.486	-0.507	-0.207	-0.199	-0.886	0.652	-0.619	-0.490	-0.331	-0.535	-0.497	-0.296	-0.467	-0.350	-0.864	1.137	-0.738
-0.970	0.256	-0.925	-0.881	0.842	0.465	-0.054	-0.522	-0.524	0.825	-0.308	-0.315	-0.431	0.620	1.249	1.375	0.916	0.815	1.442	-0.947	-0.076	-0.915	-0.826	0.050	0.005	-0.090	-0.435	-0.478	0.170
0.046	-0.574	-0.069	-0.063	-2.280	-1.469	-1.023	-1.100	-1.108	-1.280	-0.992	-1.000	-0.650	-1.182	-1.216	-0.897	-1.327	-0.627	-0.912	-0.281	-0.818	-0.382	-0.344	-2.045	-1.296	-1.119	-1.236	-0.716	-1.259
-0.805	-1.453	-0.812	-0.758	0.141	-0.535	-0.704	-0.551	-0.155	-0.014	-0.774	-0.842	-0.597	-0.190	-0.796	-0.632	-0.478	-0.438	-0.370	-0.817	-1.545	-0.863	-0.743	0.150	-0.658	-0.694	-0.412	-0.271	-0.206
-1.244	-0.842	-1.254	-1.037	-0.426	-1.088	-0.976	-0.898	0.983	0.046	-0.493	-0.552	-0.526	2.251	-0.827	-0.780	-0.377	-0.310	0.176	-1.142	-0.781	-1.166	-0.923	0.628	-1.021	-1.111	-0.959	-0.097	-0.122
-0.635	-0.449	-0.649	-0.623	1.859	-0.610	-0.370	0.647	0.742	-0.573	0.851	0.571	0.187	2.378	-0.591	-0.637	1.184	0.755	-0.300	-0.801	-1.088	-0.827	-0.717	0.155	-1.084	-0.962	-0.383	-1.100	-1.308
-0.794	-1.193	-0.830	-0.734	-0.183	-1.243	-1.095	-1.175	0.519	-0.650	-0.605	-0.643	-0.511	0.461	-0.920	-1.007	-1.372	0.367	-0.819	-0.842	-1.088	-0.890	-0.742	-0.283	-1.149	-1.281	-1.575	-0.231	-1.112
-0.152	-0.337	-0.236	-0.235	-1.200	-1.208	-0.863	-0.942	-0.870	-1.076	-0.531	-0.585	-0.398	-1.099	-1.128	-0.704	-1.094	-0.859	-1.009	-0.159	0.069	-0.249	-0.248	-1.199	-1.132	-0.797	-0.955	-0.914	-1.180
-0.079	-0.956	-0.123	-0.192	-0.085	-0.520	-0.552	-0.304	1.088	-0.604	-0.567	-0.512	-0.460	-0.935	-0.562	-0.574	-0.221	-0.637	-0.832	-0.267	-0.641	-0.265	-0.370	-0.607	-0.520	-0.607	-0.223	0.088	-0.821
-0.677	-1.225	-0.730	-0.647	-1.296	-1.154	-0.832	-0.549	1.056	-0.236	0.565	0.421	-0.055	0.331	-0.617	-0.555	1.080	1.049	-0.676	-0.612	-1.207	-0.671	-0.609	-1.260	-1.076	-0.982	-0.482	0.324	-0.945
-0.351	-0.835	-0.325	-0.393	-1.293	-0.162	0.285	-0.387	-1.385	-0.488	-0.411	-0.257	-0.375	-0.207	0.789	1.569	0.963	-0.213	-0.037	-0.490	-0.974	-0.451	-0.501	-1.450	-0.143	0.298	-0.196	-1.458	-0.702
-0.439	-0.207	-0.500	-0.471	-0.884	-1.177	-1.091	-1.185	-0.418	-0.602	-0.481	-0.566	-0.393	-0.219	-0.976	-0.995	-1.438	0.625	-0.673	-0.573	-0.423	-0.646	-0.556	-1.251	-1.195	-1.278	-1.610	-0.640	-1.087
-0.621	0.342	-0.580	-0.608	-0.733	-0.061	-0.289	-0.284	-0.816	0.689	-0.472	0.164	-0.405	-0.107	1.456	0.397	0.735	-0.220	1.595	-0.627	0.262	-0.448	-0.587	-0.910	0.172	-0.171	0.014	-0.704	0.878
-0.351	-1.434	-0.415	-0.395	-1.906	-1.270	-0.830	-0.959	-1.731	-0.990	-0.909	-0.866	-0.608	-0.769	-0.672	-0.509	-0.955	-0.527	-0.648	-0.548	-1.649	-0.591	-0.533	-1.586	-0.887	-0.736	-0.927	-0.956	-0.819
-0.814	0.156	-0.751	-0.741	-1.149	0.261	0.049	0.179	2.858	-0.066	0.294	0.005	-0.124	2.897	3.191	1.626	3.740	1.650	1.029	-0.912	-0.545	-0.863	-0.778	-1.295	-0.445	-0.564	-0.327	0.088	-0.767
-0.782	-0.093	-0.815	-0.736	-0.656	-1.027	-0.813	-0.701	0.735	-0.460	-0.503	-0.451	-0.502	-0.168	-0.644	-0.601	-0.303	1.647	-0.328	-0.809	0.075	-0.832	-0.740	-0.901	-0.999	-0.944	-0.800	0.592	-0.775
0.080	0.102	0.167	-0.011	-0.625	1.198	0.595	0.441	-0.356	1.292	1.716	0.739	0.808	0.240	4.519	2.243	2.579	2.447	7.205	-0.103	-0.577	-0.165	-0.199	-1.425	-0.045	-0.241	-0.190	-1.016	0.224
0.236	-0.044	0.208	0.092	-0.458	-0.116	-0.369	-0.019	0.246	-0.606	-0.424	-0.344	-0.340	-0.569	-0.242	-0.548	0.012	-0.644	-0.370	-0.004	0.083	0.055	-0.124	-0.047	0.310	-0.440	0.522	0.099	0.043
-0.334	-0.760	-0.363	-0.401	0.294	-0.472	-0.342	-0.392	-0.298	0.269	-0.706	-0.809	-0.498	0.561	-0.304	-0.283	-0.077	0.690	0.352	-0.523	-0.935	-0.549	-0.518	0.698	-0.302	-0.231	-0.137	0.775	0.659
-0.646	-0.425	-0.676	-0.631	-0.899	-0.907	-0.777	-0.673	0.231	-0.800	-0.715	-0.807	-0.582	0.185	-0.585	-0.589	-0.522	-0.317	-0.760	-0.664	0.012	-0.682	-0.637	0.198	-0.499	-0.674	-0.353	0.324	-0.768
-0.399	-1.281	-0.419	-0.463	0.022	-0.386	-0.952	-0.765	-0.633	-0.255	-0.809	-0.755	-0.593	-0.325	-0.764	-0.839	-0.619	-0.823	-0.908	-0.573	-1.334	-0.557	-0.574	-0.112	-0.680	-1.054	-0.779	-0.860	-0.815
-0.101	-1.400	-0.161	-0.205	-0.311	-0.798	-0.981	-0.767	-0.801	-0.521	-0.671	-0.686	-0.497	-0.897	-0.967	-0.915	-0.805	0.121	-0.753	-0.331	-1.423	-0.390	-0.385	-0.673	-0.935	-1.126	-0.861	-0.126	-0.886
-0.913	-1.613	-0.940	-0.827	-0.795	-1.082	-0.959	-0.908	-1.323	-0.352	-0.829	-0.791	-0.643	-1.187	-0.741	-0.701	-0.389	1.073	-0.139	-1.014	-1.766	-1.037	-0.858	-1.719	-1.139	-1.166	-1.258	-1.225	-0.970
0.038	-0.260	-0.031	-0.062	-2.176	-0.987	-0.803	-0.907	-0.644	-0.983	-0.632	-0.596	-0.435	-1.290	-0.654	-0.699	-1.062	-1.151	-0.695	-0.010	-0.068	-0.043	-0.107	-1.661	-0.239	-0.555	-0.598	-0.428	-0.398
-1.026	0.884	-1.034	-0.911	0.365	-0.689	-0.801	-0.777	-0.425	0.391	-0.427	-0.285	-0.435	1.042	-0.617	-0.440	0.114	1.705	-0.689	-1.105	-0.237	-1.106	-0.910	-0.791	-1.069	-1.105	-1.268	-1.089	-0.896
-0.473	0.140	-0.475	-0.522	-0.843	-0.056	-0.257	-0.462	-0.112	-0.044	-0.148	-0.142	-0.264	-0.170	0.459	0.504	0.362	0.830	0.324	-0.581	-0.424	-0.569	-0.578	-1.199	-0.244	-0.392	-0.584	-0.349	-0.349
-1.032	-0.158	-1.033	-0.911	0.742	-0.711	-0.826	-0.802	-1.202	0.454	-0.926	-0.906	-0.665	0.611	-0.900	-0.458	-0.421	-0.318	-0.181	-1.078	-0.185	-1.086	-0.887	0.391	-0.953	-0.901	-0.750	-1.112	-0.306
-0.757	-0.263	-0.756	-0.715	-0.557	-0.519	-0.694	-0.874	-1.461	-0.052	-0.279	-0.193	-0.383	-0.130	0.058	-0.321	-0.647	-0.194	-0.145	-0.743	-0.662	-0.731	-0.686	-0.787	-0.479	-0.717	-0.905	-1.120	-0.419
-0.717	1.209	-0.730	-0.675	-1.537	-0.899	-0.866	-0.922	0.450	-0.569	-0.555	-0.448	-0.486	-0.306	-0.118	-0.528	-0.778	1.379	-0.599	-0.792	0.967	-0.770	-0.710	-1.617	-0.751	-0.958	-1.011	0.555	-0.913
-0.263	-0.807	-0.325	-0.334	-0.800	-0.981	-1.096	-1.177	-0.655	-0.546	-0.775	-0.822	-0.546	-1.135	-0.984	-1.019	-1.525	-0.859	-0.457	-0.385	-0.850	-0.454	-0.428	-0.857	-0.761	-1.251	-1.363	-0.404	-0.005
-1.455	-1.137	-1.465	-1.161	-1.871	-1.386	-1.068	-1.171	-0.086	0.784	-0.831	-0.852	-0.672	0.116	-1.150	-0.935	-1.349	0.782	-0.621	-1.359	-0.912	-1.380	-1.045	-1.479	-1.284	-1.234	-1.532	0.146	-0.327
-0.178	-1.530	-0.258	-0.252	-1.607	-1.291	-1.079	-1.147	-1.629	-1.338	-0.652	-0.671	-0.438	-1.233	-1.214	-0.989	-1.386	-0.695	-0.842	-0.269	-1.422	-0.351	-0.319	-1.846	-1.245	-1.239	-1.407	-1.024	-1.220
-0.306	-1.267	-0.381	-0.353	-0.913	-1.268	-1.057	-1.033	-1.308	-1.079	-0.028	-0.148	-0.161	-0.964	-1.160	-0.963	-1.130	-0.765	-0.575	-0.318	-1.347	-0.396	-0.366	-1.348	-1.244	-1.217	-1.206	-1.283	-1.005
-0.689	-0.042	-0.726	-0.671	-0.584	-0.981	-0.915	-0.965	0.454	-0.215	-0.884	-0.869	-0.639	-0.325	-0.914	-0.711	-0.674	0.357	-0.806	-0.757	0.142	-0.784	-0.698	-0.441	-0.925	-0.925	-0.870	0.948	-0.795
0.137	-0.837	0.029	0.028	-1.435	-1.310	-0.932	-0.777	-0.655	-1.451	-0.322	-0.451	-0.251	-0.669	-1.086	-0.880	-0.887	-0.678	-1.096	0.039	-0.639	-0.106	-0.070	-1.369	-1.166	-1.077	-0.859	-0.599	-1.495
-0.388	-1.376	-0.398	-0.428	-0.599	-0.471	-0.606	-0.604	-0.768	-0.198	-0.284	-0.257	-0.333	-0.182	0.123	-0.017	-0.179	-0.391	0.226	-0.430	-1.509	-0.453	-0.460	-0.568	-0.213	-0.457	-0.464	-0.544	-0.078
-0.734	-1.992	-0.751	-0.698	-0.739	-0.845	-0.942	-1.031	0.078	-0.255	-0.988	-0.870	-0.679	-0.972	-0.674	-0.724	-1.155	-0.027	-0.696	-0.813	-2.084	-0.775	-0.725	-1.015	-0.583	-0.906	-1.026	0.791	-0.532
-1.569	-0.160	-1.559	-1.232	0.785	-0.869	-1.114	-1.261	1.282	1.529	-0.247	-0.319	-0.495	4.566	-0.639	-1.057	-1.912	4.950	1.143	-1.514	-0.527	-1.506	-1.125	0.102	-1.122	-1.305	-1.744	0.390	-0.154
-0.465	-0.567	-0.526	-0.492	-0.800	-1.250	-1.058	-1.095	-2.176	-0.859	-0.842	-0.900	-0.608	-0.704	-1.255	-0.970	-1.362	-0.800	-0.926	-0.606	-0.971	-0.678	-0.591	-0.962	-1.301	-1.212	-1.320	-1.590	-1.229
-0.553	-1.211	-0.606	-0.550	-1.352	-1.367	-0.973	-1.131	-0.506	-0.893	-0.699	-0.706	-0.539	-0.566	-1.101	-0.685	-1.093	-0.093	-1.075	-0.707	-1.498	-0.764	-0.645	-1.413	-1.277	-1.107	-1.462	-0.982	-1.305
-1.443	-0.091	-1.313	-1.166	0.236	1.758	1.364	0.004	1.891	3.489	0.217	0.447	-0.355	0.934	2.257	2.346	2.184	1.738	1.543	-1.285	-0.371	-1.150	-1.025	-0.450	0.766	0.905	-0.002	0.379	1.193
-0.482	-0.532	-0.550	-0.505	-1.478	-1.322	-0.946	-0.823	-1.239	-1.018	-0.099	-0.187	-0.202	0.105	-0.820	-0.727	-0.097	1.668	-0.315	-0.697	-0.890	-0.759	-0.641	-2.114	-1.317	-1.197	-1.313	-1.616	-1.363
-1.100	-0.723	-1.047	-0.940	0.693	0.128	-0.270	-0.239	-0.250	1.415	-0.135	-0.628	-0.388	1.149	0.959	0.270	0.591	0.804	1.437	-1.032	-0.824	-1.063	-0.861	0.343	-0.116	-0.395	-0.261	-0.473	0.724
-0.360	-1.388	-0.377	-0.426	1.212	-0.303	-0.637	-0.384	-0.980	0.278	-0.663	-0.619	-0.522	-0.377	-0.297	-0.426	-0.273	-1.031	-0.260	-0.461	-0.748	-0.430	-0.494	0.978	-0.198	-0.446	0.014	-0.838	0.088
-0.547	-0.949	-0.574	-0.560	-0.685	-0.736	-0.864	-0.825	-0.633	-0.214	-0.533	-0.449	-0.469	-0.546	-0.631	-0.708	-1.078	-0.872	-0.654	-0.521	-0.699	-0.481	-0.522	-0.296	-0.391	-0.745	-0.898	-0.388	-0.240
-0.414	-0.463	-0.441	-0.469	0.458	-0.525	-0.713	-0.718	-0.382	-0.419	-0.704	-0.643	-0.500	-0.077	-0.891	-0.616	-0.863	0.003	-0.760	-0.529	-0.745	-0.552	-0.538	0.264	-0.846	-0.816	-0.891	-0.344	-0.834
-0.005	-1.490	-0.080	-0.109	-0.233	-0.971	-0.892	-0.556	-1.600	-0.821	-0.534	-0.647	-0.361	-0.116	-0.791	-0.867	-0.838	-0.772	-0.498	-0.153	-1.249	-0.264	-0.230	-0.187	-0.911	-1.050	-0.847	-1.294	-0.726
-0.595	-0.316	-0.653	-0.594	-1.389	-1.239	-1.094	-1.117	-1.567	-0.297	-0.619	-0.692	-0.514	-0.770	-1.038	-1.017	-1.271	-0.712	-0.771	-0.662	-0.558	-0.730	-0.627	-1.361	-1.146	-1.268	-1.318	-1.180	-0.752
-0.326	0.014	-0.307	-0.400	-0.041	0.154	-0.222	-0.500	-0.185	0.369	-0.493	-0.198	-0.433	-0.438	0.395	0.399	-0.322	0.843	0.294	-0.383	-0.606	-0.240	-0.433	-0.156	0.451	0.344	-0.244	1.124	0.427
-0.825	0.133	-0.824	-0.760	0.643	-0.692	-1.051	-1.065	0.468	-0.357	-0.388	-0.449	-0.455	1.948	-0.806	-0.947	-1.107	2.648	-0.692	-0.887	0.017	-0.903	-0.781	0.439	-1.002	-1.241	-1.436	0.632	-1.037
-0.816	-1.049	-0.847	-0.753	-0.946	-1.132	-1.102	-1.185	-0.141	-0.282	-0.688	-0.661	-0.555	-0.474	-1.025	-1.024	-1.435	-0.429	-0.667	-0.726	-0.589	-0.749	-0.681	-0.691	-0.994	-1.278	-1.490	-0.139	-0.541
-0.519	-0.063	-0.580	-0.541	-0.941	-1.180	-1.017	-1.041	-0.994	-0.474	-0.798	-0.825	-0.596	0.280	-0.952	-0.825	-0.855	-0.139	-0.594	-0.604	0.453	-0.676	-0.591	-0.445	-1.041	-1.131	-1.138	-0.560	-0.658
-0.323	-1.176	-0.325	-0.399	-0.124	-0.089	-0.645	-0.720	-0.582	1.357	-0.807	-0.962	-0.570	-0.603	-0.136	-0.025	-0.726	-0.502	0.720	-0.527	-1.426	-0.592	-0.535	-0.796	-0.361	-0.610	-0.854	-0.758	0.939
-1.157	-0.409	-1.134	-0.978	0.309	-0.589	-0.799	-0.803	0.286	0.073	-0.517	-0.538	-0.516	0.254	-0.614	-0.497	-0.608	0.055	-0.384	-1.057	0.189	-1.050	-0.872	0.343	-0.725	-0.799	-0.755	-0.011	-0.405
0.083	-0.639	0.090	-0.039	0.082	0.181	-0.109	-0.172	0.366	0.187	-0.202	-0.094	-0.180	-0.821	0.282	0.216	0.103	-0.219	-0.159	0.083	-0.678	0.123	-0.032	-0.130	0.526	0.495	0.408	0.246	0.205
-1.283	-0.570	-1.248	-1.064	-0.821	-0.228	-0.057	-0.670	0.818	1.197	-0.796	-0.711	-0.621	-0.362	0.516	0.609	-0.533	-0.368	0.089	-1.142	-0.424	-1.072	-0.926	-0.397	0.555	0.776	-0.508	0.131	0.792
-0.870	-1.007	-0.843	-0.798	0.493	-0.253	-0.437	-0.400	-0.130	0.888	-0.884	-0.747	-0.649	0.125	-0.375	-0.143	-0.275	0.355	-0.332	-0.900	-0.940	-0.818	-0.774	0.413	-0.211	-0.203	-0.108	0.647	0.379
-0.686	-0.893	-0.697	-0.667	1.325	-0.597	-0.611	-0.423	0.720	0.320	-0.218	-0.253	-0.347	0.831	-0.810	-0.510	-0.095	-0.122	-0.263	-0.664	-1.223	-0.687	-0.640	0.597	-0.907	-0.784	-0.547	-0.219	-0.326
-1.097	-1.065	-1.060	-0.947	0.175	-0.241	-0.665	-0.736	-0.652	1.027	-0.242	-0.233	-0.462	3.437	1.186	-0.192	0.189	1.961	1.120	-1.115	-1.008	-1.082	-0.919	0.159	-0.576	-0.961	-1.124	-0.754	0.052
-0.587	-0.091	-0.630	-0.596	-0.889	-0.879	-1.020	-1.042	-0.936	-0.328	-0.585	-0.646	-0.491	0.046	-0.811	-0.863	-1.021	-0.087	-0.393	-0.544	0.225	-0.617	-0.558	-0.152	-0.757	-1.089	-0.969	-0.034	-0.173
0.180	-1.058	0.119	0.039	-0.541	-0.503	-0.536	-0.351	-1.060	-0.521	-0.225	-0.163	-0.248	-0.769	-0.582	-0.442	-0.183	0.132	-0.382	0.207	-1.260	0.206	0.000	-0.454	-0.339	-0.274	0.160	0.337	-0.115
-0.754	-0.758	-0.780	-0.717	-0.398	-0.861	-0.789	-0.662	-0.648	0.131	-0.846	-0.878	-0.617	0.716	-0.945	-0.745	-0.888	-0.362	-0.297	-0.778	-0.795	-0.821	-0.711	0.908	-0.904	-0.834	-0.747	-0.080	0.204
-0.618	-1.007	-0.607	-0.648	1.382	0.308	-0.967	-0.800	2.361	0.427	-0.159	-0.203	-0.301	-0.413	-0.073	-0.798	-0.207	0.822	-0.257	-0.716	-1.295	-0.719	-0.675	-0.134	-0.418	-1.155	-1.018	0.361	-0.445
-0.700	-0.516	-0.752	-0.665	-1.475	-1.288	-1.010	-0.961	-0.513	-0.777	-0.187	-0.317	-0.315	-0.153	-1.032	-0.859	-0.891	0.196	-0.426	-0.618	-0.966	-0.704	-0.594	-1.436	-1.204	-1.159	-1.095	-0.274	-0.869
-0.848	-1.214	-0.853	-0.768	-1.679	-0.827	-0.549	-0.882	-0.444	-0.279	0.061	0.229	-0.253	-0.500	0.469	0.436	0.472	1.268	0.392	-0.858	-1.604	-0.823	-0.750	-1.915	-0.818	-0.729	-1.147	-0.525	-0.762
-0.445	-0.051	-0.414	-0.480	-0.623	-0.010	0.178	-0.129	-1.016	-0.136	-0.162	0.171	-0.282	0.937	0.942	1.021	1.274	0.707	0.155	-0.600	-0.528	-0.543	-0.585	-0.997	-0.344	-0.160	-0.334	-1.260	-0.668
-0.306	-0.163	-0.283	-0.406	0.842	0.493	0.091	0.183	0.815	0.313	-0.341	-0.137	-0.413	0.255	0.773	0.637	1.129	0.975	0.726	-0.430	-0.135	-0.388	-0.508	0.085	0.073	-0.071	0.170	0.343	-0.043
-0.073	-0.716	-0.142	-0.174	-0.635	-0.936	-0.925	-0.723	-1.414	-0.562	-0.544	-0.558	-0.431	-0.467	-0.979	-0.883	-0.933	-0.617	-0.645	-0.240	-0.016	-0.313	-0.327	-0.748	-0.975	-1.051	-0.898	-0.871	-0.710
-1.490	-0.883	-1.450	-1.176	-0.955	-0.518	-0.522	-0.647	0.432	0.483	0.479	0.698	-0.223	1.295	0.196	0.008	0.529	0.947	0.143	-1.301	-1.298	-1.250	-1.016	-1.352	-0.823	-0.852	-1.019	-0.754	-0.534
-1.331	-0.225	-1.323	-1.069	0.323	-0.848	-0.774	-0.898	-1.115	0.962	0.370	0.198	-0.217	-0.068	-0.921	-0.279	-0.848	-0.136	-0.409	-0.879	-0.107	-0.937	-0.775	0.041	-0.949	-0.756	-0.975	-0.722	-0.143
-0.450	-0.284	-0.516	-0.463	-1.564	-1.474	-1.099	-1.120	-1.035	-1.551	-0.195	-0.266	-0.265	-0.419	-1.161	-1.030	-1.326	-0.014	-1.034	-0.527	-0.764	-0.608	-0.518	-1.727	-1.341	-1.288	-1.495	-1.079	-1.591
-0.235	0.530	-0.277	-0.309	-0.749	-0.769	-0.694	-0.636	0.012	-0.827	-0.516	-0.415	-0.426	-0.514	-0.281	-0.462	-0.875	-0.272	-0.695	-0.428	0.573	-0.426	-0.456	-0.804	-0.557	-0.724	-0.889	-0.426	-0.961
-0.388	-0.105	-0.416	-0.450	0.028	-0.470	-0.777	-0.802	-0.192	-0.137	-0.663	-0.658	-0.507	-0.477	-0.504	-0.550	-0.292	-0.176	-0.628	-0.521	0.051	-0.579	-0.528	-0.112	-0.447	-0.703	-0.479	-0.253	-0.640
0.673	-0.232	0.602	0.521	0.036	-0.372	-0.379	-0.015	-1.155	-0.973	-0.239	-0.258	-0.149	0.072	-0.415	-0.450	-0.238	-0.436	-0.678	0.385	-0.037	0.296	0.226	0.063	-0.549	-0.508	-0.356	-0.819	-1.066
-0.206	-0.544	-0.267	-0.291	-1.208	-0.897	-0.840	-0.881	-0.590	-0.820	-0.890	-0.905	-0.596	-0.882	-0.725	-0.576	-1.023	-0.923	-0.650	-0.318	-0.647	-0.402	-0.381	-0.485	-0.551	-0.651	-0.681	-0.258	-0.450
-0.544	-0.295	-0.562	-0.558	-0.288	-0.617	-0.563	-0.738	-0.425	-0.515	-0.550	-0.491	-0.478	-0.402	-0.648	-0.394	-0.763	-0.141	-0.693	-0.409	-0.266	-0.399	-0.450	0.194	-0.237	-0.148	-0.400	0.513	-0.512
0.302	-1.414	0.234	0.162	-1.190	-0.663	-0.688	-0.576	-0.331	-1.042	-0.818	-0.756	-0.497	-0.676	-0.593	-0.543	-0.428	-0.493	-0.766	-0.014	-1.618	-0.082	-0.108	-0.866	-0.512	-0.652	-0.499	-0.669	-0.902
-0.124	-0.749	-0.170	-0.215	-0.949	-0.769	-0.793	-0.737	0.220	-0.865	-0.846	-0.739	-0.579	-0.936	-0.537	-0.669	-0.885	-0.135	-0.611	-0.296	-0.890	-0.241	-0.369	-0.958	-0.284	-0.660	-0.681	0.682	-0.384
0.580	-0.749	0.590	0.380	0.173	0.747	-0.280	0.130	0.651	0.414	-0.832	-0.750	-0.559	-0.843	-0.411	-0.410	0.027	-0.145	-0.037	0.145	-1.064	0.174	-0.034	-0.388	0.005	-0.291	0.160	0.408	0.313
-1.009	0.216	-0.898	-0.900	-0.400	1.168	1.746	0.270	1.373	3.074	-1.059	-0.249	-0.728	0.486	2.845	4.029	2.819	-0.529	3.176	-1.121	-0.465	-0.915	-0.929	-0.791	0.684	1.586	0.485	-0.491	1.996
-0.189	2.074	-0.250	-0.264	-1.507	-1.081	-0.954	-0.973	-1.425	-0.732	-0.852	-0.725	-0.559	-0.699	-0.751	-0.808	-1.072	-0.741	-0.798	-0.327	1.619	-0.302	-0.351	-0.945	-0.690	-0.924	-0.864	-0.334	-0.738
-0.133	-0.962	-0.152	-0.211	-0.973	-0.546	-0.581	-0.624	-0.072	-0.542	-0.955	-0.873	-0.637	-0.609	0.244	-0.247	-0.558	-0.286	0.406	-0.358	-0.982	-0.277	-0.393	-0.213	0.357	-0.073	-0.140	0.786	0.688
-0.811	-1.472	-0.774	-0.763	1.944	0.128	-0.123	0.170	0.753	0.898	-0.537	-0.523	-0.534	-0.135	-0.430	-0.361	-0.025	0.065	-0.028	-0.710	-0.837	-0.665	-0.710	1.254	-0.072	-0.228	0.262	0.715	0.454
-0.876	-1.014	-0.877	-0.802	-1.173	-0.635	-0.669	-0.726	0.698	-0.048	-0.869	-0.784	-0.630	-0.581	-0.360	-0.486	-0.784	-0.211	-0.701	-0.865	-0.789	-0.819	-0.761	-1.002	-0.356	-0.560	-0.716	0.487	-0.613
-0.589	0.798	-0.544	-0.588	-1.921	0.056	-0.118	-0.493	-2.220	0.537	-1.031	-0.538	-0.677	-0.666	1.124	0.370	0.790	0.503	1.347	-0.765	0.493	-0.592	-0.689	-1.944	0.427	0.091	-0.082	-1.147	0.528
-0.493	-0.421	-0.466	-0.546	0.557	0.480	-0.375	-0.518	-0.119	0.437	-0.521	-0.370	-0.465	-0.109	0.646	0.519	-0.208	-0.262	1.167	-0.432	-0.414	-0.358	-0.492	0.452	0.668	0.232	-0.252	-0.132	1.542
-0.240	-1.295	-0.254	-0.321	-0.905	-0.352	-0.477	-0.523	-0.710	-0.971	-0.800	-0.630	-0.551	-0.923	-0.265	-0.120	-0.539	-0.718	-0.447	-0.420	-1.352	-0.318	-0.451	-0.691	0.090	0.069	-0.348	-0.266	-0.595
-0.544	-1.209	-0.543	-0.548	-1.086	-0.494	-0.256	-0.608	-0.604	-0.178	-0.500	-0.380	-0.448	-0.878	0.267	0.383	-0.150	-0.161	0.313	-0.649	-1.039	-0.584	-0.616	-1.304	-0.071	0.170	-0.353	-0.362	0.238
-0.070	-0.728	-0.148	-0.166	-1.856	-1.061	-0.857	-1.041	-0.746	-1.141	-0.545	-0.572	-0.378	-1.103	-0.633	-0.398	-0.775	-0.493	-0.690	-0.157	-0.929	-0.226	-0.238	-2.082	-0.832	-0.782	-1.053	-0.580	-0.981
-0.811	-0.881	-0.765	-0.747	-0.904	0.134	0.149	-0.550	-0.006	1.377	-0.269	-0.147	-0.382	1.112	2.301	2.081	1.406	-1.010	3.226	-0.875	-1.098	-0.819	-0.756	-0.971	0.169	0.143	-0.485	-1.202	1.127
-1.097	-1.644	-1.079	-0.947	0.256	-0.548	-0.873	-0.754	-0.042	0.410	-0.772	-0.751	-0.626	-0.453	-0.660	-0.775	-0.789	-0.141	-0.538	-1.012	-1.631	-1.013	-0.854	0.085	-0.567	-0.892	-0.725	0.059	-0.372
-1.530	-0.570	-1.510	-1.195	0.536	-0.569	-1.114	-1.261	0.632	1.159	0.403	0.149	-0.253	2.924	-0.325	-1.057	-1.912	-0.229	1.111	-1.262	-0.468	-1.287	-0.990	0.597	-0.783	-1.305	-1.744	-0.737	0.260
-0.575	-0.365	-0.572	-0.593	0.465	-0.128	-0.514	-0.404	0.457	-0.168	-0.437	-0.493	-0.398	0.368	-0.512	-0.446	-0.694	-0.047	-0.755	-0.561	0.020	-0.563	-0.564	0.474	-0.489	-0.536	-0.790	0.240	-0.727
-0.019	-0.490	-0.091	-0.130	-1.131	-0.961	-0.778	-0.423	-0.622	-0.731	-0.919	-0.806	-0.608	-0.556	-0.712	-0.682	-0.428	-0.406	-0.888	-0.279	-0.055	-0.323	-0.344	-1.129	-0.834	-0.899	-0.540	-0.611	-0.989
-0.175	-0.093	-0.159	-0.275	0.678	0.196	-0.038	0.126	-0.020	-0.284	-0.691	-0.669	-0.463	-0.533	-0.330	0.038	0.304	-0.894	-0.503	-0.304	0.248	-0.296	-0.361	0.457	0.017	0.343	0.467	-0.379	-0.392
-0.377	-0.425	-0.367	-0.417	-1.132	-0.291	-0.187	-0.208	-0.867	-0.750	-0.149	-0.098	-0.215	-0.540	0.519	0.449	0.331	-0.224	0.103	-0.523	-0.751	-0.492	-0.509	-1.622	-0.464	-0.393	-0.481	-1.475	-0.743
-0.870	-1.037	-0.891	-0.786	-1.347	-1.073	-0.774	-1.074	-1.009	-0.093	-0.792	-0.793	-0.601	-0.927	-0.602	-0.414	-1.236	-1.044	-0.097	-0.743	-0.867	-0.788	-0.674	-0.892	-0.422	-0.308	-0.898	-0.502	0.423
-0.660	-0.472	-0.688	-0.634	-0.390	-0.796	-0.756	-0.839	0.129	-0.369	-0.221	-0.317	-0.336	-0.526	-0.326	-0.368	-1.037	-0.698	-0.274	-0.583	-0.193	-0.633	-0.560	-0.349	-0.519	-0.610	-0.929	-0.197	-0.151
-0.624	-1.948	-0.651	-0.603	-0.543	-0.983	-0.787	-0.798	-0.768	-1.046	-0.552	-0.602	-0.470	-0.288	-0.750	-0.601	-0.967	-1.159	-0.732	-0.511	-0.901	-0.584	-0.511	0.220	-0.615	-0.579	-0.697	-0.712	-0.627
-0.331	-0.232	-0.321	-0.369	-1.625	-0.480	-0.605	-0.775	0.228	-0.539	-0.611	-0.232	-0.442	-1.136	0.651	0.087	-0.186	0.699	-0.034	-0.443	-0.174	-0.326	-0.454	-1.712	-0.143	-0.536	-0.738	0.495	-0.635
-0.337	-0.725	-0.362	-0.419	0.173	-0.303	-0.700	-0.645	-0.279	-0.113	-0.935	-0.924	-0.637	-1.383	-0.705	-0.522	-0.727	-0.223	-0.689	-0.498	-0.432	-0.523	-0.526	-0.664	-0.372	-0.437	-0.467	0.640	-0.310
-0.507	-1.009	-0.563	-0.528	-0.678	-1.110	-0.849	-0.731	-0.878	-0.810	-0.079	-0.131	-0.224	0.220	-0.949	-0.624	-0.242	1.108	-0.893	-0.639	-1.436	-0.689	-0.610	-1.207	-1.187	-1.069	-1.014	-0.974	-1.340
-0.904	-0.163	-0.888	-0.810	0.287	-0.563	-0.494	-0.505	-1.188	0.475	-0.092	0.075	-0.320	0.825	-0.231	-0.397	-0.040	0.030	-0.413	-0.801	-0.016	-0.729	-0.717	0.172	-0.571	-0.628	-0.544	-1.050	-0.367
0.571	-1.030	0.507	0.412	-0.100	-0.366	-0.424	-0.094	-0.279	-0.573	-0.600	-0.562	-0.407	-1.027	-0.727	-0.450	-0.494	-0.670	-0.822	0.298	-0.992	0.257	0.118	-0.515	-0.522	-0.197	-0.026	-0.198	-0.765
-0.362	0.484	-0.384	-0.399	-1.483	-0.401	-0.345	-0.780	-0.845	-0.235	0.339	-0.155	0.020	-0.343	1.079	0.658	0.262	0.744	1.488	-0.387	0.217	-0.465	-0.412	-1.680	-0.386	-0.424	-0.891	-0.667	-0.135
-0.527	-0.318	-0.558	-0.536	-0.676	-0.740	-0.711	-0.577	0.563	-0.967	-0.256	-0.389	-0.320	-0.384	-0.133	-0.374	-0.170	0.634	-0.577	-0.449	0.521	-0.543	-0.475	-0.367	-0.475	-0.645	-0.293	0.896	-0.830
-0.785	-0.400	-0.802	-0.725	-0.553	-0.970	-0.765	-0.720	-0.768	-0.519	-0.770	-0.745	-0.586	-0.550	-0.867	-0.671	-0.960	-0.863	-0.807	-0.666	1.732	-0.660	-0.631	0.566	-0.585	-0.437	-0.420	0.117	-0.360
-0.876	-0.572	-0.866	-0.800	0.806	-0.498	-0.732	-0.622	-0.356	0.085	-0.752	-0.754	-0.589	-0.627	-0.900	-0.707	-0.699	-0.407	-0.604	-0.798	0.124	-0.813	-0.719	0.198	-0.674	-0.793	-0.613	0.157	-0.284
-1.342	0.556	-1.326	-1.097	-1.185	-0.830	-0.645	-1.129	-1.961	0.629	-1.033	-0.837	-0.737	-0.508	0.070	0.181	-1.081	-0.125	0.298	-1.304	0.376	-1.210	-1.018	-1.041	-0.417	-0.409	-1.353	-0.848	0.449
0.245	0.656	0.229	0.110	-0.797	-0.035	-0.254	-0.262	0.483	-0.519	-0.312	-0.275	-0.260	-0.863	0.145	0.041	0.027	-0.179	0.083	0.102	0.956	0.087	-0.024	-1.080	0.510	0.188	0.246	0.424	0.474
-0.635	0.437	-0.641	-0.628	0.097	-0.438	-0.793	-0.699	0.756	0.015	-0.470	-0.463	-0.457	0.951	0.282	-0.517	-0.408	0.247	-0.576	-0.666	0.249	-0.660	-0.628	0.448	-0.226	-0.747	-0.486	0.282	-0.578
-1.340	0.560	-1.332	-1.090	0.572	-0.809	-0.857	-0.937	0.778	0.455	0.090	-0.053	-0.333	2.564	-0.488	-0.604	-0.506	1.197	0.300	-1.121	0.905	-1.147	-0.915	0.886	-0.858	-1.010	-1.170	-0.046	-0.050
-0.405	-1.655	-0.456	-0.454	-0.605	-0.879	-0.818	-0.642	-0.834	-0.007	-0.649	-0.662	-0.505	-0.303	-0.717	-0.756	-0.578	-0.413	0.234	-0.542	-1.425	-0.570	-0.551	-0.042	-0.595	-0.855	-0.492	-0.203	0.592
-0.842	0.493	-0.865	-0.780	0.387	-0.844	-1.002	-0.983	-0.717	-0.192	-0.428	-0.444	-0.469	-0.044	-0.895	-0.826	-0.914	0.774	-0.656	-0.809	0.528	-0.833	-0.742	-0.183	-0.912	-1.133	-1.088	0.122	-0.704
-0.726	-0.058	-0.731	-0.697	-0.775	-0.514	-0.426	-0.893	0.800	-0.018	-0.428	-0.326	-0.440	0.079	-0.280	0.417	-0.486	-0.225	-0.172	-0.662	0.212	-0.620	-0.632	-0.327	-0.385	-0.078	-0.730	0.217	-0.061
0.160	-1.235	0.257	0.003	0.479	1.501	0.705	0.363	1.001	1.595	0.509	0.954	0.200	0.978	1.506	0.692	0.649	0.724	0.623	0.039	-1.194	0.204	-0.125	-0.051	0.694	0.238	-0.058	-0.119	0.450
-0.714	-0.760	-0.679	-0.701	0.884	0.236	-0.224	-0.102	0.271	0.057	-0.575	-0.593	-0.537	-0.385	-0.303	-0.185	0.202	-0.249	-0.685	-0.751	-0.977	-0.754	-0.711	0.400	-0.237	-0.201	-0.062	-0.184	-0.536
-0.133	-0.037	-0.103	-0.226	-0.412	0.196	0.097	-0.021	0.133	-0.140	-0.652	-0.525	-0.461	-1.019	0.146	0.159	0.153	-0.572	0.061	-0.234	-0.029	-0.174	-0.302	-0.774	0.397	0.450	0.397	-0.253	0.246
-1.244	-0.039	-1.236	-1.038	0.792	-0.398	-1.002	-0.754	2.650	1.061	1.051	0.861	0.070	2.008	-0.370	-0.857	-0.207	1.265	0.163	-1.047	-0.408	-1.056	-0.878	0.325	-0.757	-1.205	-1.045	0.477	-0.213
-1.163	0.463	-1.184	-0.988	-1.080	-1.235	-1.083	-1.128	-0.662	0.226	-0.794	-0.832	-0.632	-0.439	-1.105	-0.988	-1.340	-0.737	-0.523	-1.067	0.531	-1.111	-0.886	-0.866	-1.165	-1.245	-1.351	-0.892	-0.185
-1.035	-1.002	-1.007	-0.913	0.128	-0.058	-0.319	-0.689	0.414	0.900	-0.280	-0.149	-0.430	0.108	0.737	0.687	0.137	0.129	0.391	-0.856	-0.668	-0.769	-0.773	0.015	0.288	0.104	-0.327	0.193	0.693
-0.944	0.626	-0.954	-0.838	-0.594	-0.888	-0.661	-0.899	0.746	-0.429	-0.351	-0.310	-0.443	-0.166	-0.223	-0.066	-0.218	-0.254	-0.418	-0.726	1.035	-0.701	-0.687	-0.091	-0.538	-0.381	-0.605	0.104	-0.406
-0.851	-0.621	-0.885	-0.778	-1.056	-1.250	-0.942	-0.908	-1.097	-0.187	-0.951	-0.939	-0.673	-0.386	-1.073	-0.745	-0.909	-0.055	-0.536	-0.950	-0.877	-0.979	-0.807	-1.286	-1.221	-1.085	-1.128	-0.837	-0.726
-0.399	-0.377	-0.452	-0.436	-1.237	-1.119	-0.938	-0.788	-1.286	-1.042	-0.396	-0.374	-0.376	0.099	-0.767	-0.878	-1.000	-0.138	-0.988	-0.507	-0.767	-0.547	-0.516	-1.120	-1.006	-1.138	-1.194	-1.189	-1.312
-0.490	-0.374	-0.432	-0.532	0.643	0.516	-0.143	-0.539	-0.002	1.165	-0.824	-0.327	-0.548	0.986	0.417	0.554	-0.020	0.161	0.835	-0.701	-0.450	-0.525	-0.641	0.553	0.055	-0.153	-0.622	-0.557	0.534
0.208	-0.546	0.120	0.053	-0.506	-0.636	-0.694	-0.519	-0.870	-0.817	-0.369	-0.620	-0.361	-0.428	-0.493	-0.573	-0.570	-0.609	-0.615	0.008	-0.836	-0.148	-0.181	-0.463	-0.631	-0.720	-0.531	-0.607	-0.868
-0.357	0.058	-0.383	-0.414	-0.356	-0.483	-0.888	-0.722	0.180	0.095	-0.139	-0.133	-0.304	-0.377	-0.662	-0.822	-0.858	0.204	-0.535	-0.376	-0.211	-0.361	-0.446	-0.480	-0.566	-0.963	-0.772	0.666	-0.365
-0.025	-0.770	-0.090	-0.124	-0.838	-0.859	-0.671	-0.502	-0.356	-0.541	-0.058	-0.110	-0.167	0.311	-0.700	-0.524	-0.446	-0.060	-0.365	-0.126	-0.667	-0.180	-0.229	-0.564	-0.820	-0.769	-0.610	-0.284	-0.643
-0.079	0.072	-0.135	-0.177	-0.677	-0.777	-0.946	-0.670	-0.936	-0.859	-0.228	-0.265	-0.235	-0.401	-0.811	-0.864	-0.771	-0.049	-0.555	-0.132	0.380	-0.189	-0.231	-0.901	-0.891	-1.077	-0.847	-0.627	-0.821
-0.030	-0.844	-0.098	-0.138	-1.187	-0.919	-0.852	-0.577	-0.812	-0.983	-0.689	-0.623	-0.464	-0.734	-0.907	-0.751	-0.168	-1.068	-0.639	-0.281	-1.036	-0.319	-0.337	-1.269	-0.970	-1.005	-0.494	-1.236	-0.933
-0.896	-0.486	-0.833	-0.805	-0.513	0.132	0.072	-0.330	-1.177	0.510	-0.533	-0.030	-0.488	0.508	1.167	1.074	0.954	-0.651	0.446	-0.809	0.194	-0.510	-0.710	0.295	0.978	0.986	0.622	-0.583	0.630
-0.099	-0.814	-0.148	-0.196	-0.582	-0.704	-0.982	-1.005	-1.483	-0.612	-0.176	-0.312	-0.242	-0.203	-0.777	-0.800	-0.995	-1.001	-0.465	-0.207	-1.330	-0.279	-0.306	-1.102	-0.935	-1.136	-1.240	-1.684	-0.877
-1.009	-0.225	-1.035	-0.892	-1.062	-1.131	-0.864	-0.974	2.044	-0.725	-0.805	-0.786	-0.598	1.225	-0.679	-0.396	-0.111	-0.408	0.263	-1.103	-0.385	-1.128	-0.903	-1.508	-1.200	-1.114	-1.405	-0.326	-0.918
-0.606	1.302	-0.591	-0.607	0.472	-0.230	-0.431	-0.159	0.031	0.808	-0.515	-0.495	-0.460	0.426	-0.292	-0.283	0.787	0.048	-0.046	-0.681	0.762	-0.678	-0.644	-0.056	-0.458	-0.533	0.085	-0.488	-0.079
0.191	-0.379	0.161	0.057	-0.325	-0.292	-0.603	-0.678	0.297	-0.558	-0.666	-0.685	-0.453	-0.748	-0.769	-0.474	-0.794	0.242	-0.689	0.033	-0.478	-0.041	-0.090	-0.428	-0.421	-0.317	-0.480	1.130	-0.614
0.114	0.012	0.094	0.014	-0.887	-0.499	-0.008	-0.507	-1.235	-0.756	-0.547	-0.431	-0.380	-0.964	-0.279	0.063	-0.478	-0.799	-0.555	0.006	0.441	0.025	-0.088	-1.028	0.068	0.507	-0.284	-0.695	-0.516
-0.641	0.523	-0.623	-0.633	-2.149	0.039	-0.013	-0.646	-1.688	0.471	-0.538	-0.451	-0.442	-0.062	1.963	1.151	0.605	0.363	1.939	-0.720	0.407	-0.707	-0.656	-1.655	0.544	0.238	-0.412	-0.963	0.862
-0.604	2.079	-0.626	-0.604	-0.853	-0.754	-0.605	-0.759	-0.717	-0.249	-0.772	-0.668	-0.582	0.098	0.023	-0.082	-0.426	-0.374	0.192	-0.658	1.985	-0.660	-0.627	-0.507	-0.436	-0.437	-0.661	-0.733	-0.111
0.114	-1.235	0.078	-0.030	0.963	-0.226	-0.249	0.413	-0.590	-0.225	-0.358	-0.358	-0.322	-0.302	-0.724	-0.522	-0.071	0.185	-0.088	-0.097	-1.423	-0.124	-0.230	0.102	-0.677	-0.647	-0.117	-0.476	-0.324
-0.428	-0.497	-0.467	-0.460	-0.749	-0.948	-0.742	-0.675	-0.046	-0.643	-0.851	-0.866	-0.594	-1.050	-0.946	-0.640	-0.795	-0.540	-0.815	-0.399	-0.574	-0.465	-0.434	-0.432	-0.652	-0.400	-0.245	0.597	-0.589
-0.212	2.658	-0.232	-0.278	-0.278	-0.570	-0.760	-0.420	-1.593	-0.374	-0.232	-0.286	-0.251	-0.400	-0.727	-0.794	-0.432	-0.593	-0.306	-0.252	2.592	-0.315	-0.307	-0.664	-0.713	-0.969	-0.563	-1.139	-0.398
-0.709	2.325	-0.704	-0.681	-0.198	-0.352	-0.216	-0.741	-0.046	-0.161	-0.331	-0.354	-0.378	0.939	-0.072	0.360	-0.418	0.509	-0.630	-0.652	2.137	-0.632	-0.620	0.361	-0.325	0.096	-0.704	-0.027	-0.650
-0.260	1.386	-0.324	-0.332	-0.601	-0.990	-0.766	-0.728	-0.703	-0.985	-0.710	-0.768	-0.500	-0.424	-0.971	-0.556	-0.866	-0.856	-0.743	-0.397	1.392	-0.475	-0.435	-0.152	-0.940	-0.638	-0.830	-0.738	-0.890
-0.320	1.358	-0.385	-0.383	-0.901	-1.015	-0.963	-0.807	-0.528	-1.177	-0.516	-0.598	-0.421	-0.329	-0.922	-0.868	-0.885	-1.015	-0.862	-0.399	1.009	-0.482	-0.443	-0.463	-0.921	-1.091	-0.843	-0.961	-1.165
-1.241	2.072	-1.247	-1.034	-1.175	-1.100	-0.921	-0.992	-0.695	-0.464	-0.819	-0.803	-0.639	-0.151	-0.714	-0.576	-0.923	-0.581	-0.577	-1.158	1.829	-1.168	-0.932	-0.936	-0.911	-0.960	-1.003	-0.937	-0.655
0.077	1.790	0.012	-0.025	-1.878	-0.987	-0.678	-0.813	-0.382	-1.199	-0.626	-0.563	-0.436	-0.561	-0.485	-0.404	-0.879	-0.774	-0.719	-0.180	1.025	-0.204	-0.256	-1.343	-0.688	-0.599	-0.897	-0.898	-1.069
-0.717	-0.216	-0.744	-0.688	-0.802	-0.867	-0.692	-0.803	-1.078	-0.596	-0.806	-0.773	-0.603	-0.111	-0.473	-0.368	-0.697	0.084	-0.388	-0.724	-0.270	-0.732	-0.677	0.080	-0.467	-0.413	-0.483	0.500	-0.294
-0.272	-0.249	-0.316	-0.334	-1.543	-0.841	-0.504	-0.521	-1.304	-1.035	-0.732	-0.806	-0.515	-0.357	-0.589	-0.538	-0.540	-1.163	-0.802	-0.283	-0.291	-0.362	-0.339	-0.183	-0.367	-0.405	-0.154	-1.076	-0.814
-0.252	0.195	-0.210	-0.318	-0.961	0.340	0.153	-0.531	-0.768	0.216	-0.448	0.249	-0.363	-0.703	2.295	1.489	0.305	-0.639	1.639	-0.172	-0.029	0.230	-0.258	-0.537	1.972	1.838	0.321	-0.090	2.268
-0.280	0.337	-0.246	-0.335	-0.683	0.086	0.247	-0.356	-0.911	-0.368	-0.324	-0.274	-0.284	0.085	0.352	0.472	0.121	-0.597	-0.213	-0.304	-0.035	-0.189	-0.336	0.120	0.640	0.854	0.053	-0.546	-0.122
-1.265	-0.277	-1.272	-1.047	-0.942	-0.948	-0.928	-1.112	-0.480	0.187	-0.229	-0.292	-0.426	1.312	-0.721	-0.715	-1.274	0.773	-0.308	-1.059	-0.172	-1.076	-0.879	0.282	-0.818	-0.997	-1.363	0.253	-0.288
-0.711	-0.258	-0.642	-0.699	1.503	0.832	0.166	0.173	0.530	1.381	0.018	0.080	-0.274	2.514	0.368	0.587	1.072	-0.299	0.537	-0.602	-0.045	-0.569	-0.619	1.999	0.213	0.222	0.411	-0.389	0.485
-1.266	-0.186	-1.254	-1.039	-0.491	-0.791	-0.744	-0.871	1.555	0.189	-0.099	-0.147	-0.387	0.153	-0.312	-0.157	-0.310	-0.114	0.045	-1.061	-0.009	-1.083	-0.870	-0.393	-0.636	-0.693	-0.746	0.442	0.072
-0.592	2.058	-0.622	-0.582	-0.629	-0.840	-0.817	-0.648	0.155	-0.824	0.725	0.610	0.102	0.159	-0.554	-0.571	0.005	-0.009	0.033	-0.552	1.245	-0.596	-0.550	-1.238	-0.998	-1.040	-0.900	-0.803	-0.972
0.225	-1.014	0.184	0.091	-1.094	-0.357	-0.419	-0.431	-0.455	-0.865	-0.579	-0.514	-0.374	-1.256	-0.434	-0.291	-0.551	-1.096	-0.535	0.188	-1.213	0.141	0.046	-1.133	0.158	0.206	0.001	-0.344	-0.067
-0.527	2.483	-0.599	-0.538	-1.377	-1.332	-1.114	-1.261	-0.404	-0.453	0.145	0.009	-0.114	0.099	-0.962	-1.057	-1.912	1.315	-0.249	-0.583	2.013	-0.660	-0.565	-1.671	-1.285	-1.305	-1.744	-0.795	-0.914
-0.921	-0.853	-0.887	-0.841	0.309	0.048	-0.472	-0.856	0.180	0.789	-0.927	-0.774	-0.676	-0.855	0.304	-0.143	-0.827	-1.019	0.331	-0.896	-1.029	-0.788	-0.786	0.036	0.861	0.308	-0.532	-0.517	1.332
-0.368	-0.828	-0.374	-0.421	-0.424	-0.410	-0.382	-0.467	-0.389	-0.519	-0.921	-0.826	-0.631	-0.722	-0.420	0.043	-0.557	-0.548	-0.569	-0.451	-1.029	-0.418	-0.483	0.010	0.043	0.361	-0.255	0.170	-0.328
0.021	0.288	0.018	-0.104	-0.501	0.122	-0.479	-0.473	-1.115	-0.383	-0.207	-0.058	-0.205	-0.977	0.413	-0.122	0.276	-0.537	-0.397	0.037	0.258	0.144	-0.091	-0.748	0.563	-0.101	0.294	-0.593	-0.297
-0.064	-0.621	-0.123	-0.158	-1.997	-0.969	-0.835	-0.916	0.005	-1.053	-0.900	-0.729	-0.578	-1.243	-0.688	-0.728	-1.129	-0.893	-0.642	-0.234	-0.631	-0.180	-0.284	-1.687	-0.341	-0.641	-0.797	-0.358	-0.386
-0.748	-1.093	-0.740	-0.710	0.586	-0.418	-0.448	-0.753	-0.119	0.417	-0.728	-0.643	-0.571	-0.694	-0.242	0.320	-0.609	-0.256	-0.068	-0.801	-0.615	-0.751	-0.725	0.124	-0.339	-0.060	-0.613	0.065	0.435
-0.558	-0.293	-0.563	-0.567	-0.390	-0.492	-0.748	-0.867	-1.268	0.006	-0.670	-0.588	-0.529	-0.709	-0.492	-0.594	-1.075	-0.726	-0.732	-0.606	0.357	-0.549	-0.585	-0.507	-0.168	-0.528	-0.878	-0.800	-0.369
-0.064	-0.012	-0.133	-0.148	-1.170	-0.967	-0.738	-0.727	-0.849	-0.971	-0.265	-0.401	-0.262	-1.111	-0.819	-0.550	-0.895	-1.200	-0.596	0.029	0.121	-0.085	-0.088	-1.137	-0.717	-0.503	-0.504	-0.881	-0.438
-0.187	-1.216	-0.191	-0.309	0.764	0.211	-0.388	0.096	-0.119	0.509	-0.888	-0.872	-0.604	-0.863	-0.612	-0.615	-0.487	-0.431	-0.381	-0.298	-1.197	-0.367	-0.387	0.304	-0.028	-0.419	0.287	0.527	0.516
-0.121	-0.384	-0.173	-0.238	0.223	-0.469	-0.543	-0.446	-0.290	-0.272	-0.584	-0.644	-0.433	-1.264	-0.966	-0.494	-0.415	-0.931	-0.858	-0.271	-0.349	-0.342	-0.341	-0.546	-0.761	-0.470	-0.363	-0.619	-0.794
0.455	-1.862	0.446	0.262	0.565	0.484	0.380	0.340	-0.101	-0.029	-0.873	-0.852	-0.582	-0.335	-0.406	0.049	-0.183	-1.064	-0.582	0.153	-1.867	0.156	-0.046	0.952	0.277	0.615	0.465	-0.556	-0.118
-0.476	-0.670	-0.375	-0.506	-0.087	0.885	0.823	-0.012	0.986	1.480	-0.047	1.057	-0.223	0.064	2.749	2.634	2.498	1.425	2.204	-0.515	-0.756	-0.281	-0.527	-0.651	0.965	1.042	0.298	0.534	1.077
0.145	-0.567	0.092	0.032	-0.707	-0.707	-0.463	-0.541	-1.469	-1.310	-0.666	-0.690	-0.447	-1.168	-0.645	-0.460	-0.916	-0.968	-0.973	0.039	-0.039	-0.038	-0.087	-0.796	-0.300	-0.137	-0.553	-0.721	-0.996
-0.694	-0.725	-0.678	-0.666	1.169	-0.222	-0.577	-0.454	0.151	0.172	-0.122	-0.154	-0.281	0.652	-0.701	-0.443	-0.020	0.118	-0.220	-0.610	-0.665	-0.616	-0.581	0.886	-0.677	-0.590	-0.250	-0.156	-0.205
-0.533	0.732	-0.567	-0.535	-1.027	-0.991	-0.899	-0.936	-0.976	-0.430	-0.654	-0.638	-0.490	-0.648	-0.750	-0.745	-1.174	-0.540	-0.528	-0.434	1.027	-0.432	-0.453	-0.296	-0.469	-0.715	-0.780	0.322	-0.106
1.056	-1.409	0.931	0.958	-1.278	-0.798	-0.556	-0.184	-2.158	-1.468	0.282	0.147	0.233	-0.890	-0.961	-0.675	-0.706	-0.910	-0.939	0.735	-1.181	0.590	0.579	-1.478	-0.982	-0.802	-0.475	-1.807	-1.397
-0.473	-1.502	-0.541	-0.505	-1.610	-1.210	-1.024	-0.965	-0.725	-0.378	-0.280	-0.375	-0.346	1.115	-0.863	-0.844	-0.632	0.986	0.388	-0.637	-1.516	-0.715	-0.609	-1.663	-1.204	-1.224	-1.336	-1.003	-0.757
-0.274	0.291	-0.325	-0.330	-1.636	-0.977	-0.888	-0.937	-0.360	-0.555	-0.294	-0.267	-0.314	0.253	-0.277	-0.612	-1.010	0.038	-0.413	-0.366	0.453	-0.356	-0.408	-0.901	-0.570	-0.936	-1.105	-0.346	-0.535
0.211	0.214	0.171	0.074	-0.035	-0.396	-0.258	0.015	-1.184	-0.753	-0.623	-0.628	-0.407	-0.542	-0.657	-0.343	0.005	-0.115	-0.749	-0.054	0.456	-0.100	-0.170	-0.472	-0.734	-0.490	-0.196	-0.860	-0.994
-0.419	-0.260	-0.382	-0.481	0.799	0.550	-0.108	0.047	-0.622	0.813	-0.623	-0.579	-0.482	-0.445	-0.026	-0.183	-0.239	-0.357	-0.088	-0.391	-0.574	-0.356	-0.434	0.917	0.826	0.412	0.397	0.532	1.072
-0.470	-0.460	-0.474	-0.497	-0.503	-0.531	-0.661	-0.650	-1.042	-0.331	-0.909	-0.798	-0.625	-1.081	-0.657	-0.611	-0.762	-0.627	-0.852	-0.457	-0.218	-0.430	-0.480	-0.209	-0.023	-0.333	-0.142	0.217	-0.406
0.259	-0.593	0.278	0.098	0.176	0.607	-0.145	0.322	-0.524	0.835	-0.120	-0.278	-0.121	-0.972	-0.407	-0.395	-0.285	-1.209	-0.211	0.102	-0.854	0.073	-0.042	-0.826	-0.233	-0.415	-0.195	-1.170	0.085
-0.450	-0.690	-0.441	-0.507	1.382	0.079	-0.370	-0.416	0.479	0.471	-0.532	-0.643	-0.480	0.886	-0.548	-0.204	-0.030	0.903	-0.497	-0.558	-0.696	-0.613	-0.577	1.123	-0.503	-0.399	-0.464	0.411	-0.474
-1.379	-1.493	-1.254	-1.154	4.767	2.264	0.107	0.093	2.066	4.564	0.009	0.073	-0.446	0.913	1.114	0.097	1.634	0.590	2.515	-1.239	-1.513	-1.137	-1.019	2.533	0.571	-0.299	-0.184	0.222	2.284
-1.263	-1.430	-1.146	-1.087	2.072	2.198	0.376	0.553	0.895	4.667	-0.472	-0.534	-0.498	4.906	1.307	0.662	0.438	0.699	2.904	-1.173	-1.243	-1.125	-0.970	2.988	0.712	0.092	-0.108	-0.085	2.904
-0.541	0.174	-0.514	-0.573	0.941	0.206	-0.088	-0.703	1.139	0.870	-0.808	-0.930	-0.610	-0.256	-0.195	0.257	-0.308	-0.888	0.007	-0.643	-0.245	-0.659	-0.642	0.343	-0.145	0.390	-0.513	-0.310	0.246
-0.870	-0.504	-0.853	-0.819	1.638	0.052	-0.604	-0.161	0.519	2.402	-0.820	-0.766	-0.616	1.858	-0.112	-0.460	0.171	0.201	1.707	-0.947	-0.803	-0.928	-0.825	1.482	-0.325	-0.703	-0.296	-0.195	1.819
0.617	-0.835	0.524	0.469	-0.149	-0.705	-0.421	-0.085	-0.367	-0.882	-0.716	-0.851	-0.432	0.118	-0.751	-0.238	0.407	-0.859	-0.463	0.217	-1.288	0.076	0.084	0.133	-0.751	-0.371	0.321	-0.971	-0.645
-0.677	-1.069	-0.644	-0.650	-1.093	-0.146	-0.270	-0.581	-1.140	0.677	-0.767	-0.752	-0.600	-0.020	0.764	0.274	0.565	0.249	1.144	-0.790	-1.314	-0.774	-0.714	-1.098	0.159	-0.015	-0.137	-0.480	0.822
0.194	-1.067	0.111	0.073	-0.828	-1.026	-0.685	-0.606	-0.557	-1.320	-0.674	-0.588	-0.431	-0.111	-0.754	-0.566	-0.200	-0.574	-0.762	-0.136	-1.317	-0.165	-0.211	-0.809	-0.973	-0.777	-0.533	-0.916	-1.247
0.128	-1.309	0.096	0.011	0.139	-0.287	-0.083	-0.140	-0.265	-0.906	0.041	-0.151	-0.071	-0.695	-0.411	-0.051	-0.510	-0.623	-0.572	0.102	-1.373	0.037	-0.033	-0.441	-0.391	-0.110	-0.346	-0.444	-0.746
-0.791	-0.158	-0.791	-0.749	0.607	-0.366	-0.574	-0.592	0.421	-0.097	-0.585	-0.680	-0.487	0.512	-0.506	-0.361	-0.118	0.459	-0.974	-0.786	-0.431	-0.837	-0.706	0.698	-0.616	-0.526	-0.444	0.257	-0.892
-0.354	-0.249	-0.309	-0.460	1.809	1.169	-0.509	0.106	-0.374	1.378	0.135	0.153	-0.131	-0.589	-0.122	-0.591	0.104	-0.288	-0.187	-0.252	-0.213	-0.237	-0.362	0.580	0.266	-0.707	-0.076	-0.515	0.276
-0.391	-0.602	-0.389	-0.458	1.148	0.139	-0.627	-0.489	1.125	0.486	-0.079	-0.184	-0.258	0.156	-0.551	-0.402	-0.421	-0.301	-0.063	-0.376	-0.641	-0.406	-0.450	0.663	-0.358	-0.623	-0.520	0.275	0.090
-1.371	-1.253	-1.317	-1.128	2.897	0.344	-0.696	-0.637	1.406	2.006	-0.185	-0.236	-0.455	2.804	-0.004	-0.329	0.649	2.350	0.040	-1.179	-1.275	-1.173	-0.973	2.305	-0.283	-0.826	-0.639	1.261	0.325
-0.814	0.126	-0.851	-0.758	-0.800	-1.140	-1.050	-1.115	-0.637	0.090	-0.976	-0.932	-0.682	-0.946	-1.093	-0.929	-1.253	-0.686	-0.567	-0.898	0.122	-0.919	-0.781	-0.945	-1.125	-1.183	-1.313	-0.556	-0.433
-0.118	-0.142	-0.133	-0.238	0.199	0.050	-0.438	-0.286	-0.356	0.798	-0.310	-0.288	-0.305	-0.101	-0.166	-0.366	0.279	-0.223	-0.018	-0.240	-0.008	-0.233	-0.314	0.444	0.015	-0.377	0.210	-0.084	0.352
-1.215	-0.839	-1.192	-1.028	-0.102	-0.382	-0.822	-0.638	-1.549	0.866	-0.560	-0.440	-0.552	0.563	-0.282	-0.705	-0.810	-0.279	-0.114	-1.041	-0.437	-0.980	-0.885	0.417	-0.190	-0.900	-0.750	-0.645	0.451
-1.577	-1.439	-1.541	-1.232	0.515	-0.531	-0.792	-0.872	-0.487	1.199	-1.004	-0.889	-0.727	0.285	-0.439	-0.460	-0.725	-0.559	0.049	-1.406	-1.176	-1.308	-1.063	1.390	-0.196	-0.464	-0.449	0.133	1.160
-0.189	-0.125	-0.186	-0.295	0.792	0.179	-0.587	-0.448	-0.323	0.053	-0.741	-0.704	-0.533	-0.875	-0.617	-0.557	-0.717	-0.847	-0.759	-0.190	-0.084	-0.160	-0.282	1.315	0.369	-0.033	0.427	0.998	0.150
-0.507	-1.632	-0.536	-0.530	-0.450	-0.781	-0.743	-0.579	-0.447	-0.668	-1.041	-1.036	-0.690	-1.119	-0.911	-0.767	-0.982	-1.119	-0.918	-0.550	-1.042	-0.596	-0.554	-0.139	-0.298	-0.446	-0.116	0.338	-0.444
-0.053	-1.423	-0.068	-0.172	2.022	-0.129	0.153	0.444	0.600	0.251	0.508	0.606	0.097	0.999	0.390	0.521	2.712	-0.410	0.655	-0.341	-1.675	-0.379	-0.399	0.308	-0.749	-0.557	-0.199	-1.197	-0.632
-0.584	-1.360	-0.582	-0.596	0.970	-0.270	-0.640	-0.540	-0.564	0.465	-0.555	-0.570	-0.479	0.095	-0.779	-0.461	-0.617	-0.112	-0.590	-0.583	-1.612	-0.605	-0.581	0.864	-0.579	-0.527	-0.619	-0.194	-0.190
-0.675	-0.402	-0.662	-0.659	0.778	-0.137	-0.451	-0.116	-0.779	0.563	0.120	0.140	-0.213	-0.151	-0.409	-0.481	0.221	-0.265	-0.558	-0.573	0.375	-0.558	-0.577	0.111	-0.438	-0.650	-0.207	-0.683	-0.353
-0.697	0.170	-0.690	-0.678	0.373	-0.186	-0.587	-0.705	0.173	0.257	-0.716	-0.729	-0.549	-0.596	-0.458	-0.447	-1.053	-0.732	-0.425	-0.604	0.510	-0.603	-0.580	0.991	0.268	0.017	-0.508	0.493	0.308
-0.127	-0.688	-0.173	-0.226	-0.255	-0.602	-0.894	-0.776	-0.659	-0.177	-0.723	-0.738	-0.508	-1.070	-1.019	-0.822	-1.089	-1.210	-0.793	-0.087	-0.891	-0.168	-0.188	-0.261	-0.622	-0.727	-0.419	-0.153	-0.339
-0.899	-0.388	-0.872	-0.822	0.036	-0.129	-0.454	-0.542	-0.703	0.182	-0.918	-0.841	-0.665	0.819	0.464	0.401	0.270	-0.886	-0.099	-0.962	0.135	-0.918	-0.831	0.457	-0.021	-0.287	-0.243	-0.989	-0.065
-0.692	1.197	-0.642	-0.706	1.937	0.963	-0.548	-0.093	1.165	1.594	-0.395	-0.350	-0.426	1.945	0.529	-0.439	0.950	-0.598	0.767	-0.681	1.060	-0.629	-0.690	1.946	0.450	-0.636	0.246	-0.158	0.872
-1.816	1.442	-1.810	-1.353	-1.094	-1.052	-1.114	-1.261	0.213	1.424	-0.099	-0.185	-0.466	1.871	-0.882	-1.057	-1.912	1.001	1.163	-1.488	0.853	-1.491	-1.111	-0.296	-1.086	-1.305	-1.744	0.254	0.855
-1.826	1.430	-1.796	-1.377	-0.688	0.295	0.047	-0.909	0.822	2.084	-0.669	-0.703	-0.629	2.807	2.183	2.008	0.299	0.061	1.419	-1.571	1.011	-1.570	-1.154	1.193	0.331	0.322	-0.983	-0.179	1.254
-0.734	-1.128	-0.713	-0.716	0.247	0.145	-0.269	-0.592	0.023	0.711	-0.457	-0.612	-0.428	1.702	0.873	0.783	0.510	-0.259	0.649	-0.830	-0.976	-0.848	-0.743	0.093	-0.270	-0.443	-0.691	-0.924	-0.144
0.097	1.325	0.158	0.004	-0.568	0.353	0.152	-0.258	0.220	0.087	-0.544	-0.124	-0.379	0.032	1.176	0.212	-0.029	0.017	0.875	-0.010	0.985	0.186	-0.126	0.071	1.055	0.632	0.090	0.463	1.016
0.174	1.425	0.112	0.039	-0.968	-0.610	-0.599	-0.481	0.104	-0.849	-0.368	-0.341	-0.284	-0.755	-0.768	-0.412	0.145	-0.223	-0.442	0.050	1.076	0.004	-0.095	-1.155	-0.742	-0.532	-0.078	-0.289	-0.797
-0.260	2.039	-0.292	-0.331	-0.686	-0.674	-0.739	-0.417	-0.670	-0.706	-0.613	-0.656	-0.494	-0.689	-0.657	-0.560	-0.434	-0.399	-0.927	-0.393	1.870	-0.440	-0.441	-1.102	-0.738	-0.796	-0.533	-0.691	-1.081
-0.073	0.328	-0.090	-0.199	-0.041	-0.048	-0.651	-0.650	-0.699	0.578	-0.480	-0.391	-0.378	-0.247	-0.210	-0.190	-0.443	-0.683	-0.074	-0.252	-0.151	-0.241	-0.337	-0.261	-0.321	-0.645	-0.702	-1.053	0.054
-0.144	0.916	-0.197	-0.232	-0.277	-0.698	-0.741	-0.631	-0.538	-0.678	-0.213	-0.396	-0.200	-0.391	-0.251	-0.387	-0.443	0.040	-0.458	-0.190	0.555	-0.288	-0.265	-0.472	-0.652	-0.802	-0.652	-0.418	-0.798
-1.080	-0.683	-1.097	-0.938	-0.144	-1.030	-0.987	-1.119	0.268	-0.112	-0.702	-0.747	-0.602	0.015	-1.018	-0.721	-1.021	-0.598	-0.449	-1.038	-0.636	-1.076	-0.871	-0.169	-1.054	-1.095	-1.381	-0.355	-0.551
-1.097	-0.630	-1.075	-0.949	-0.540	-0.448	-0.567	-0.632	-0.520	0.615	-1.049	-0.929	-0.726	1.075	0.299	-0.191	-0.134	0.269	0.792	-1.125	-0.592	-1.077	-0.919	0.601	-0.189	-0.450	-0.476	-0.339	0.600
-1.261	0.012	-1.272	-1.049	-0.814	-1.023	-0.821	-1.013	-0.845	-0.063	-0.395	-0.402	-0.486	0.133	-0.796	-0.282	-0.353	0.180	0.136	-1.105	-0.014	-1.136	-0.907	-0.546	-1.009	-0.857	-1.158	-0.564	-0.263
-0.938	1.144	-0.950	-0.833	-1.027	-0.726	-0.920	-1.050	0.600	0.068	0.413	0.345	-0.161	0.407	-0.378	-0.634	-0.953	0.498	-0.309	-0.670	0.939	-0.695	-0.659	-0.524	-0.578	-1.008	-1.247	0.256	-0.426
-0.927	0.509	-0.965	-0.837	-1.568	-1.175	-1.114	-1.261	-0.549	-0.470	-0.320	-0.371	-0.432	0.845	-0.806	-1.057	-1.912	1.149	-0.592	-0.954	-0.148	-0.987	-0.822	-1.413	-1.149	-1.305	-1.744	-0.716	-0.998
-0.851	0.732	-0.843	-0.786	-0.050	-0.424	-0.509	-0.679	0.797	0.386	-0.451	-0.431	-0.494	-1.181	0.281	0.085	-0.252	1.038	0.351	-0.879	0.420	-0.877	-0.780	-1.037	-0.483	-0.555	-0.768	0.434	-0.201
-0.385	2.358	-0.437	-0.418	-0.967	-1.174	-0.863	-0.874	-0.994	-0.910	-0.592	-0.687	-0.474	0.598	-0.734	-0.617	-0.404	-0.190	-0.782	-0.496	1.680	-0.570	-0.502	-0.393	-0.940	-0.890	-0.755	-0.798	-1.058
-1.360	0.616	-1.356	-1.111	-0.282	-0.914	-0.613	-0.930	-0.436	0.420	-0.375	-0.369	-0.494	1.299	-0.399	0.267	0.166	2.062	0.313	-1.329	-0.102	-1.321	-1.027	-0.967	-1.089	-0.922	-1.353	-0.753	-0.555
-0.354	2.239	-0.390	-0.399	-1.076	-0.873	-0.337	-0.657	-0.896	-0.810	-0.698	-0.675	-0.517	0.457	-0.220	0.235	-0.677	-0.435	-0.376	-0.492	1.637	-0.548	-0.500	-0.423	-0.586	-0.136	-0.756	-0.855	-0.638
-1.089	1.934	-1.082	-0.948	-0.431	-0.526	-0.361	-0.555	-0.797	-0.216	-0.668	-0.707	-0.569	1.668	0.105	0.535	0.877	-0.256	0.432	-1.123	1.502	-1.122	-0.919	0.264	-0.529	-0.346	-0.355	-1.091	-0.062
-1.126	0.070	-1.121	-0.975	0.280	-0.555	-1.051	-0.973	-0.075	0.073	-0.581	-0.602	-0.517	1.955	-0.182	-0.918	-0.764	0.626	-0.573	-1.163	-0.455	-1.172	-0.937	-0.257	-0.853	-1.257	-1.404	-1.032	-0.915
-1.335	1.997	-1.346	-1.090	-1.076	-1.034	-1.114	-1.261	-0.254	-0.313	0.477	0.372	-0.247	1.515	-0.795	-1.057	-1.912	1.149	-0.178	-1.196	1.393	-1.213	-0.966	-1.098	-1.161	-1.305	-1.744	-0.688	-0.789
0.131	0.788	0.182	0.006	-0.827	0.543	0.177	-0.298	-1.304	-0.188	-0.648	-0.318	-0.457	-0.932	1.168	1.123	0.691	-0.504	0.231	-0.163	0.259	-0.041	-0.258	-1.304	0.399	0.451	-0.062	-1.039	-0.216
-0.743	1.079	-0.718	-0.714	-0.267	-0.042	0.281	-0.203	-1.545	0.411	-0.600	-0.460	-0.514	0.386	0.242	0.844	0.142	-0.685	0.356	-0.784	1.868	-0.743	-0.714	-0.112	-0.016	0.435	-0.275	-1.275	0.187
-0.022	1.828	-0.024	-0.155	0.208	0.156	-0.554	-0.152	-1.002	-0.154	-0.147	0.011	-0.231	0.072	0.073	-0.370	0.723	0.031	0.570	-0.201	1.219	-0.210	-0.305	-0.362	-0.177	-0.669	-0.149	-1.052	-0.041
-0.831	2.344	-0.877	-0.764	-1.555	-1.302	-1.114	-1.261	-2.742	-1.102	-0.328	-0.408	-0.385	0.184	-0.927	-1.057	-1.912	-0.079	-0.764	-0.900	2.054	-0.954	-0.775	-1.739	-1.267	-1.305	-1.744	-2.157	-1.378
-1.807	1.221	-1.813	-1.347	-3.109	-1.150	-1.114	-1.261	-0.819	-0.561	-0.070	-0.157	-0.466	0.049	-1.162	-1.057	-1.912	0.752	-0.382	-1.410	0.764	-1.431	-1.075	-1.857	-1.206	-1.305	-1.744	-0.048	-0.751
1.096	-2.072	1.269	0.984	1.567	3.281	2.651	2.530	2.216	2.254	2.488	2.831	2.485	-0.214	1.316	0.723	0.660	1.148	0.906	1.885	-1.358	2.302	1.999	1.307	2.614	2.108	2.294	2.748	1.935
1.828	-0.353	1.684	1.907	-0.826	-0.487	-0.024	0.548	0.001	-0.868	0.499	0.263	0.742	-0.605	-0.692	-0.440	0.260	-0.805	-0.099	1.804	-0.369	1.534	1.889	-0.375	-0.430	-0.147	1.086	-0.244	0.281
1.578	0.456	1.565	1.558	0.941	1.052	1.362	2.035	0.939	-0.398	1.228	0.850	1.180	-0.297	0.814	0.213	1.424	0.237	0.293	1.511	-0.024	1.346	1.455	0.527	1.082	0.854	1.953	1.151	0.201
-0.768	0.254	-0.592	-0.764	3.281	3.400	1.914	1.450	2.865	4.907	0.326	0.286	-0.288	0.689	2.742	0.819	1.114	4.729	2.046	-0.281	0.134	-0.250	-0.550	3.391	3.890	1.988	2.174	6.041	4.931
1.749	-1.151	1.775	1.825	0.280	0.539	1.370	1.427	-0.010	-0.562	1.269	1.272	1.189	1.482	-0.048	0.828	1.143	-0.361	0.499	1.297	-1.465	1.337	1.220	0.220	-0.313	0.613	0.729	-0.868	-0.397
-0.476	-0.835	-0.387	-0.505	2.235	1.243	0.866	0.824	1.005	1.888	-0.255	-0.321	-0.289	0.156	0.445	0.160	-0.069	0.134	0.486	-0.165	-0.314	-0.115	-0.244	2.047	1.720	1.262	0.905	1.753	2.240
1.170	0.161	1.137	1.094	-0.123	0.088	0.300	0.646	-0.064	-0.762	0.150	0.155	0.298	-0.908	-0.651	-0.310	-0.228	-0.829	-0.611	1.368	0.323	1.367	1.274	0.518	0.021	0.509	1.196	0.262	-0.015
-0.118	0.358	-0.073	-0.219	1.603	1.139	0.061	0.282	1.402	1.659	0.643	0.490	0.234	0.588	0.269	-0.232	0.435	-0.687	0.611	0.164	0.401	0.099	0.029	1.447	0.724	-0.021	0.624	0.477	1.725
-0.320	0.588	-0.184	-0.384	2.200	1.683	1.218	1.150	1.964	1.571	-0.357	-0.228	-0.352	-0.436	0.533	0.120	0.075	0.107	-0.017	-0.161	0.822	-0.032	-0.248	1.661	1.817	1.279	1.390	2.388	1.288
-0.473	1.104	-0.329	-0.509	1.581	2.561	1.737	0.941	0.797	2.781	-0.388	-0.409	-0.360	0.036	2.607	1.509	0.409	-0.321	2.375	-0.244	2.441	-0.286	-0.297	2.318	5.108	3.992	1.619	2.368	6.841
0.537	0.918	0.442	0.406	-1.017	-0.713	-0.700	-0.404	-1.035	-0.825	-0.093	-0.198	0.004	-1.003	-0.905	-0.692	-0.682	-0.719	-0.285	0.604	1.335	0.492	0.473	-0.625	-0.630	-0.605	-0.226	0.076	0.032
0.469	-0.325	0.479	0.358	0.053	0.471	0.135	0.442	0.111	-0.280	0.363	0.345	0.304	-0.423	0.845	-0.132	0.166	-0.056	0.132	0.859	0.261	0.870	0.735	0.317	1.949	0.596	1.010	1.441	1.155
1.431	1.281	1.664	1.330	0.074	2.679	1.476	1.621	2.135	2.153	1.985	4.058	1.668	-1.300	3.210	1.888	4.717	2.939	3.418	0.971	0.694	1.322	0.793	-1.256	0.865	0.440	0.945	0.445	1.016
0.489	1.084	0.483	0.363	-0.878	-0.078	0.133	0.122	0.129	-1.334	-0.007	0.018	-0.083	0.909	0.323	0.617	1.317	1.121	-0.300	0.118	0.323	0.141	-0.007	-0.844	-0.393	-0.192	-0.041	-0.148	-1.167
-0.113	0.772	0.067	-0.218	1.190	2.366	1.555	0.807	0.939	1.986	-0.696	-0.398	-0.464	-0.204	1.892	0.766	0.727	-0.113	1.624	-0.256	1.030	0.046	-0.321	1.434	3.294	2.023	1.616	1.124	3.275
0.117	1.918	0.196	0.011	1.247	1.044	0.942	0.637	1.792	1.129	-0.127	0.006	-0.171	-0.478	0.945	0.514	-0.145	-0.239	0.632	0.246	1.863	0.501	0.110	1.552	2.564	2.063	0.861	2.129	2.777
0.157	0.195	0.114	0.084	0.164	-0.612	-0.186	0.095	-0.823	-0.507	0.244	0.163	0.111	-0.441	-0.774	-0.395	-0.114	-0.779	-0.646	0.579	0.846	0.480	0.452	0.615	-0.427	0.092	0.704	0.207	-0.099
0.568	0.323	0.664	0.409	1.468	1.853	1.046	1.389	1.285	1.524	0.591	0.489	0.304	-0.005	-0.026	0.000	0.190	-0.442	0.131	0.971	0.944	0.879	0.763	2.038	1.074	0.988	1.410	1.302	1.675
1.613	0.665	1.565	1.719	0.139	-0.031	0.741	1.187	-0.838	-1.253	1.273	1.483	1.584	-0.182	-0.366	0.067	0.553	-0.845	-0.679	2.286	0.846	2.367	2.665	0.825	0.386	1.270	1.889	-0.215	-0.432
0.344	-1.169	0.433	0.141	0.778	2.067	1.491	1.254	2.588	1.065	0.121	0.256	0.101	-0.084	1.552	1.079	1.738	1.957	0.226	0.373	-1.073	0.531	0.176	0.290	2.168	1.717	1.897	2.855	0.859
1.996	0.872	1.861	2.129	-0.148	-0.041	0.262	0.964	-0.155	-1.419	1.033	0.711	1.179	-0.770	-0.720	-0.488	-0.230	-1.175	-0.683	2.669	1.613	2.403	3.046	0.339	0.036	0.208	1.313	-0.127	-0.481
0.716	0.486	0.742	0.710	1.119	0.783	0.799	1.103	0.669	0.071	1.448	1.280	1.369	-0.331	-0.372	-0.149	-0.080	-0.709	-0.376	2.108	0.957	2.075	2.344	2.108	0.658	0.946	1.444	1.151	0.647
0.855	-0.672	0.989	0.733	1.581	2.334	1.682	2.350	4.481	1.605	2.311	2.181	1.562	0.329	0.699	0.180	1.973	0.307	1.379	1.237	-0.696	1.343	1.019	0.969	0.894	0.542	2.136	1.883	1.216
0.128	0.521	0.224	-0.029	0.643	1.561	0.674	1.003	1.606	0.912	-0.543	-0.374	-0.424	-0.862	0.283	-0.168	0.279	-0.726	-0.032	0.279	1.226	0.451	0.029	0.882	2.606	1.350	2.366	2.203	2.411
1.272	0.223	1.240	1.248	-0.139	0.043	0.755	0.732	-0.418	-0.823	1.615	1.368	1.170	1.235	0.097	0.627	1.185	0.289	0.160	1.043	0.258	0.971	0.918	0.063	-0.271	0.347	0.523	-0.905	-0.539
0.333	1.390	0.429	0.220	0.842	1.238	0.997	0.995	0.417	0.369	0.122	0.313	0.070	-0.602	0.284	0.128	-0.157	-0.346	-0.313	0.828	1.795	1.251	0.682	1.390	2.267	1.732	1.336	1.820	0.820
0.977	-0.986	0.948	0.853	0.150	0.215	0.125	0.789	-0.265	-0.185	0.704	0.885	0.456	-0.471	0.271	0.072	0.283	-0.156	-0.020	0.774	-1.002	0.823	0.608	-0.301	0.171	-0.112	0.472	-0.234	-0.263
1.278	1.353	1.351	1.231	0.714	1.597	1.795	1.945	1.355	-0.117	1.534	1.339	1.421	-0.264	0.461	0.665	-0.035	-0.057	0.289	1.424	1.356	1.584	1.387	0.733	1.090	1.635	1.068	0.878	0.768
-0.649	-0.137	-0.578	-0.609	1.034	0.895	0.414	0.075	1.785	2.152	0.279	0.301	0.015	-0.496	0.484	0.336	-0.220	0.265	0.708	0.114	0.397	0.361	0.014	1.372	2.054	2.030	0.608	3.007	3.115
0.821	1.091	0.857	0.695	1.660	0.857	1.918	1.840	1.592	0.145	0.706	0.560	0.603	0.409	0.298	0.614	-0.110	0.058	0.022	0.954	1.043	0.858	0.814	1.359	0.646	1.374	1.066	1.017	0.048
1.459	1.669	1.479	1.441	-0.167	1.279	0.965	0.696	0.151	-0.027	0.543	0.327	0.612	-0.675	0.430	0.102	-0.349	-0.618	0.038	1.631	0.850	1.611	1.638	0.812	2.572	1.615	0.972	1.247	1.570
0.568	-0.328	0.619	0.433	0.543	0.976	0.585	0.737	0.680	0.333	-0.257	-0.338	-0.117	-0.951	0.179	-0.174	-0.442	-0.425	0.008	0.815	0.258	0.757	0.668	0.536	2.073	1.223	1.092	2.213	2.179
0.741	0.535	0.746	0.610	-0.019	0.554	0.577	0.290	0.308	-0.883	0.203	0.070	0.107	-0.421	-0.027	0.168	0.025	0.889	-0.427	0.774	0.544	0.781	0.612	1.048	0.821	1.288	1.015	3.172	0.132
0.035	0.565	0.068	-0.062	0.133	0.103	0.541	0.182	0.268	-0.219	-0.430	-0.103	-0.339	-0.387	0.250	0.539	-0.030	-0.032	0.086	-0.078	0.762	0.266	-0.142	0.536	1.078	1.181	0.458	1.116	0.966
0.245	1.374	0.147	0.125	-0.177	-1.004	-0.813	-0.514	-0.900	-1.099	2.917	2.577	1.443	-0.053	-0.812	-0.454	1.195	-1.532	-0.771	-0.265	-0.078	-0.349	-0.319	-1.686	-1.290	-1.190	-1.302	-2.159	-1.600
-0.184	0.356	-0.147	-0.272	0.373	0.401	0.220	0.141	-0.334	0.197	-0.693	-0.653	-0.480	-0.558	-0.172	-0.047	0.134	-0.819	-0.230	-0.153	0.056	0.001	-0.246	1.254	1.069	1.106	1.692	-0.152	1.282
-0.195	0.533	-0.238	-0.261	-1.048	-0.834	-0.724	-0.737	-0.101	-0.981	-0.601	-0.640	-0.435	-1.253	-0.807	-0.596	-0.797	-0.816	-0.948	-0.070	0.744	-0.142	-0.163	-1.006	-0.318	-0.305	-0.052	0.151	-0.691
-0.902	0.479	-0.826	-0.806	1.873	0.331	0.196	0.200	0.304	0.836	-0.608	-0.516	-0.514	0.341	-0.438	-0.197	-0.231	-0.843	-0.285	-0.710	1.572	-0.596	-0.644	2.564	0.099	0.624	0.423	0.102	0.671
1.403	1.283	1.495	1.276	-0.395	2.171	1.529	1.306	1.818	0.090	2.077	2.950	1.419	-0.164	4.195	2.164	2.364	3.966	1.455	1.618	1.219	2.087	1.353	-0.336	3.115	2.167	2.049	2.860	1.099
-0.240	0.230	-0.191	-0.312	0.550	0.743	0.121	0.326	0.592	0.711	-0.125	-0.217	-0.198	-0.656	-0.224	-0.333	-0.362	-0.406	-0.181	0.230	0.378	0.174	0.047	0.904	0.751	0.452	0.526	1.355	1.038
-0.272	0.586	-0.270	-0.351	0.055	0.007	-0.078	0.093	-0.239	-0.146	-0.762	-0.758	-0.568	-1.229	-0.650	-0.576	-0.801	-1.139	-0.784	-0.008	0.685	-0.052	-0.246	0.785	0.865	0.482	0.701	1.281	0.677
1.283	-0.393	1.306	1.197	0.963	1.217	1.362	1.340	0.348	-0.327	0.807	0.706	0.686	-0.249	0.808	0.783	0.835	0.452	-0.098	1.355	-0.709	1.290	1.206	1.556	1.619	2.216	1.874	1.452	0.438
-0.272	-0.146	-0.246	-0.342	1.382	0.355	0.424	0.631	1.154	0.704	-0.426	-0.479	-0.354	-0.170	-0.118	-0.094	0.057	-0.377	-0.057	-0.124	0.370	-0.133	-0.213	2.025	1.032	1.095	1.433	1.615	1.880
1.161	-0.137	1.166	1.074	1.311	0.836	1.109	1.471	1.023	0.043	1.545	0.995	1.285	-1.046	0.231	-0.123	-0.417	0.750	0.503	0.896	-0.252	0.828	0.774	-0.191	-0.156	-0.047	0.272	0.194	-0.226
0.276	0.635	0.218	0.165	-0.412	-0.635	-0.455	-0.401	-0.714	-0.844	-0.341	-0.380	-0.229	-0.788	-0.848	-0.526	-0.417	-1.160	-0.819	0.379	0.978	0.311	0.262	0.286	-0.309	-0.005	0.584	-0.365	-0.289
1.442	-0.167	1.380	1.413	0.636	0.423	0.546	1.057	0.384	-0.451	1.162	0.975	1.366	-0.194	-0.135	-0.081	0.581	-0.245	-0.449	2.042	0.401	1.870	2.221	1.315	0.615	0.555	1.438	1.028	-0.056
0.165	0.535	0.147	0.006	1.233	0.609	0.508	0.833	0.786	0.677	0.063	-0.065	-0.005	-1.126	0.172	-0.205	0.150	-0.287	0.118	0.331	0.817	0.251	0.184	0.194	1.111	0.415	1.047	1.289	1.409
0.035	0.665	0.183	-0.026	0.607	1.826	1.564	0.969	0.501	1.434	1.076	1.240	0.449	0.788	2.517	1.229	1.083	-0.429	0.876	0.290	0.624	0.352	0.139	1.385	2.354	2.013	0.972	-0.092	1.620
-0.411	1.058	-0.382	-0.443	1.126	0.414	0.301	0.511	0.341	0.439	0.073	0.030	-0.085	0.246	0.056	-0.072	0.179	-0.507	-0.073	0.170	1.268	0.135	0.014	2.309	0.965	0.624	0.867	0.779	1.061
0.185	1.081	0.224	0.038	1.482	0.825	0.475	1.066	0.516	0.530	-0.171	-0.206	-0.112	-0.113	-0.133	-0.290	0.007	-0.187	-0.216	0.215	1.255	0.218	0.078	1.420	0.555	0.145	0.712	0.679	0.286
1.366	0.470	1.302	1.350	-0.446	-0.027	0.241	0.788	-0.838	-1.160	1.383	1.296	1.225	-0.865	-0.500	-0.305	0.309	-0.808	-0.792	1.777	0.147	1.745	1.731	-0.572	-0.131	-0.017	0.978	-0.565	-1.000
0.872	1.216	0.915	0.780	0.764	1.489	1.009	0.787	0.421	0.294	0.669	0.415	0.640	-0.407	1.713	0.352	-0.085	-0.638	0.946	1.459	1.325	1.320	1.406	1.144	3.083	1.843	1.145	0.666	2.766
-0.093	-0.814	-0.063	-0.201	0.309	0.448	-0.137	0.046	-0.546	0.405	-0.456	-0.450	-0.373	-0.774	-0.270	-0.474	-0.420	-1.009	-0.251	0.062	-0.784	0.090	-0.120	0.382	0.635	0.027	0.360	-0.504	1.055
0.551	0.084	0.499	0.463	-0.333	-0.381	0.112	0.450	-0.050	-1.259	1.234	1.070	0.855	1.259	-0.193	0.103	1.020	-0.610	-0.698	0.724	-0.182	0.641	0.601	0.772	-0.316	0.051	0.569	-0.405	-1.112
1.113	-0.730	1.162	0.998	0.721	2.088	0.999	1.523	1.242	0.557	2.075	1.704	2.077	0.299	1.838	0.487	1.443	0.649	1.232	1.266	-1.101	1.275	1.281	0.676	1.965	0.510	1.454	1.374	1.487
1.718	1.088	2.129	1.677	2.292	4.564	3.595	2.873	3.992	2.638	1.899	2.860	1.672	1.112	2.394	2.558	2.291	7.066	0.828	1.469	0.983	1.876	1.304	1.381	2.302	2.377	2.072	4.104	0.869
3.148	1.307	3.273	3.476	0.707	3.070	3.075	3.494	0.063	0.711	1.775	2.234	1.751	0.375	1.756	0.842	1.378	-1.197	0.793	2.841	1.292	3.108	2.953	1.092	2.246	1.799	2.618	-0.882	1.171
1.411	1.628	1.528	1.356	1.788	1.416	1.316	2.525	-0.648	1.337	0.410	1.452	0.588	0.168	1.956	-0.350	1.075	1.212	2.492	0.840	1.146	1.013	0.733	0.299	0.174	-0.139	1.057	-0.953	0.448
1.229	-0.179	1.199	1.194	0.169	0.018	0.561	1.006	1.169	-0.365	1.062	0.948	0.885	-0.190	-0.502	-0.127	0.390	0.382	-0.015	1.378	0.326	1.337	1.269	0.325	-0.288	0.209	0.754	1.284	0.102
0.100	0.505	0.094	-0.019	-0.137	-0.092	0.396	0.012	0.961	-0.912	0.055	0.215	-0.032	0.775	0.243	0.723	0.942	0.440	-0.206	-0.012	0.581	0.034	-0.126	-0.077	-0.360	0.301	0.120	0.193	-0.857
1.388	1.232	1.236	1.197	-0.432	0.308	0.728	0.871	0.516	-0.922	0.520	0.093	0.381	-1.055	-0.394	0.172	0.033	-0.109	-0.173	1.715	0.770	1.358	1.304	-0.327	0.422	1.454	1.232	1.706	0.495
0.353	0.807	0.339	0.208	-0.310	-0.014	0.294	0.668	-0.345	-0.259	-0.333	-0.391	-0.240	0.946	-0.058	0.444	0.945	0.504	-0.625	0.033	0.026	0.007	-0.087	-0.292	-0.347	0.059	0.502	-0.557	-0.867
0.265	0.126	0.343	0.144	0.536	0.965	1.019	1.011	0.158	0.006	0.258	0.415	0.150	0.736	0.652	0.556	1.088	-0.673	-0.104	0.406	-0.235	0.483	0.254	0.996	1.055	1.189	1.474	-0.108	-0.089
1.740	0.870	1.664	1.731	-0.397	0.510	0.724	0.977	1.034	-0.893	1.271	0.835	1.045	-0.341	0.522	0.345	0.145	0.729	0.233	1.645	0.962	1.453	1.527	-0.586	0.633	0.660	0.650	1.274	-0.015
0.083	0.112	0.103	-0.035	0.082	0.185	0.064	0.244	0.246	0.156	-0.417	-0.242	-0.296	0.321	0.194	0.044	0.396	-0.716	0.248	0.013	0.843	0.067	-0.095	0.470	0.307	0.226	0.637	-0.295	0.531
-0.147	1.323	-0.161	-0.205	-0.105	-0.364	-0.032	-0.104	-0.739	-0.579	0.185	-0.003	0.062	-0.389	-0.592	-0.180	-0.304	-0.713	-0.544	0.149	1.561	0.040	0.046	-0.257	-0.381	0.214	0.058	-0.404	-0.552
-0.289	-0.867	-0.196	-0.354	3.089	1.366	1.484	1.214	0.414	2.000	-0.052	-0.226	-0.125	0.040	0.203	0.757	0.338	-0.614	1.248	0.008	-0.533	-0.026	-0.094	2.358	0.989	1.752	1.278	0.398	3.131
2.311	0.088	2.503	2.427	2.577	3.265	4.235	3.437	2.715	1.075	2.920	3.553	2.850	-0.175	3.418	2.389	2.107	1.280	0.469	2.510	0.380	2.962	2.598	1.653	2.831	3.301	2.684	1.866	0.772
0.211	-0.609	0.275	0.078	1.411	1.147	1.006	1.039	1.260	0.692	0.077	0.061	0.019	-0.019	0.008	-0.059	0.148	-0.547	0.034	0.526	0.275	0.590	0.377	2.428	1.231	0.950	1.340	1.106	1.249
0.469	0.842	0.565	0.363	1.361	1.342	1.562	1.182	1.037	1.489	0.529	0.362	0.402	0.552	0.798	0.915	0.341	-0.677	0.827	0.811	0.785	0.686	0.687	2.327	1.514	2.221	1.351	0.603	2.284
1.085	0.167	0.915	0.930	-0.877	-0.703	-0.199	0.181	1.158	-1.777	0.524	0.243	0.301	-1.005	-0.952	-0.298	-0.313	3.580	-0.715	0.892	0.350	0.653	0.668	-1.102	-0.852	-0.227	0.059	3.202	-1.264
1.286	-0.504	1.211	1.199	0.643	0.107	0.714	0.972	0.563	-0.095	1.109	1.004	1.102	0.353	-0.250	0.051	0.683	-0.011	0.293	1.237	-0.126	1.135	1.174	0.785	-0.160	0.264	0.803	-0.011	0.034
2.872	0.212	3.055	3.143	3.437	3.453	4.240	3.924	3.076	0.846	3.980	3.433	4.235	5.425	4.053	3.177	1.041	3.016	2.298	2.017	-0.275	2.191	2.094	1.631	1.081	1.477	1.676	0.519	-0.213
-0.147	1.256	-0.173	-0.234	-0.269	-0.487	-0.451	-0.466	-0.185	-0.212	-0.628	-0.551	-0.451	-0.984	-0.767	-0.462	-0.797	-0.885	-0.881	0.128	1.621	0.177	-0.056	0.645	0.217	0.515	0.278	0.920	-0.274
1.383	-0.088	1.294	1.373	-1.009	-0.456	0.049	0.189	0.490	-1.750	1.026	1.162	0.899	-0.870	0.102	0.282	0.294	-0.029	-0.419	1.252	0.009	1.218	1.155	-1.326	-0.177	0.233	0.109	-0.097	-1.026
1.607	1.356	1.582	1.526	0.365	1.033	2.079	1.700	1.424	-0.236	0.325	-0.050	0.505	-0.669	0.352	0.519	-0.221	-0.576	-0.216	1.316	1.286	1.233	1.244	-0.213	0.838	1.415	0.891	0.653	0.039
0.378	0.044	0.400	0.267	0.913	0.340	0.725	0.823	0.435	-0.685	0.249	0.113	0.175	-0.267	-0.594	-0.125	-0.140	-0.795	-0.504	0.619	0.053	0.525	0.484	0.974	-0.094	0.512	0.560	-0.103	-0.208
0.577	0.523	0.586	0.440	0.316	0.456	0.194	0.186	1.271	-0.551	0.101	-0.011	0.073	-0.721	-0.333	-0.321	-0.416	-0.628	-0.537	0.662	0.977	0.668	0.517	0.312	0.326	0.129	0.252	0.936	-0.429
1.227	0.609	1.162	1.194	-0.146	-0.137	0.332	0.504	-0.436	-0.783	0.688	0.445	0.616	-0.346	-0.629	-0.111	-0.429	-0.680	-0.601	1.293	0.929	1.141	1.246	0.619	-0.170	0.596	0.354	0.337	-0.434
-0.385	0.739	-0.422	-0.422	-0.413	-0.885	-0.523	-0.564	-0.827	-0.304	-0.608	-0.697	-0.450	0.153	-0.752	-0.284	-0.466	-0.493	-0.441	-0.368	1.252	-0.453	-0.399	0.417	-0.648	-0.261	-0.324	-0.116	-0.181
0.233	-0.400	0.201	0.066	1.446	0.495	0.817	0.962	0.530	-0.090	3.212	2.746	1.353	0.986	0.521	1.122	2.628	3.767	-0.343	0.472	-0.691	0.421	0.160	0.382	-0.241	0.303	0.793	0.830	-0.691
0.563	-0.288	0.540	0.449	0.060	0.177	0.071	0.271	0.180	-0.045	1.081	0.824	0.742	-0.090	-0.341	-0.041	-0.020	-0.217	-0.136	0.755	-0.066	0.647	0.619	-0.042	-0.195	0.038	0.106	-0.176	-0.131
-0.660	-0.630	-0.534	-0.633	0.906	1.243	0.967	0.650	3.160	1.546	-0.308	-0.289	-0.343	-0.538	0.606	0.484	1.075	4.323	0.317	-0.523	0.114	-0.456	-0.507	0.269	0.985	0.854	1.094	4.644	1.055
1.008	0.337	1.047	0.878	1.076	1.177	1.213	1.456	0.581	-0.161	1.465	1.323	1.178	0.665	1.344	0.668	1.072	-0.334	0.443	0.869	-0.092	0.763	0.740	0.413	0.607	0.413	0.561	-0.708	-0.364
1.437	-0.779	1.413	1.427	-0.670	0.268	0.383	1.231	-0.258	-1.563	2.145	2.030	1.736	0.788	0.283	0.383	2.616	1.333	-0.164	1.192	-1.280	1.171	1.079	-0.875	-0.335	-0.219	0.960	-0.740	-1.187
1.550	-0.265	1.594	1.589	1.112	1.179	2.032	2.053	0.786	-0.280	1.194	0.953	1.247	-0.994	-0.151	0.278	0.200	-0.445	-0.180	2.164	0.116	2.013	2.374	0.501	0.828	1.960	1.675	1.200	0.459
2.594	0.639	2.475	2.930	-0.851	0.192	0.547	1.240	-0.039	-1.029	0.934	0.859	1.264	-0.710	-0.002	-0.122	0.719	-0.119	-0.021	2.429	0.414	2.290	2.674	-0.419	0.661	0.588	1.825	1.112	0.439
0.753	-0.114	0.713	0.658	-0.548	-0.237	-0.057	0.434	0.297	-1.056	0.699	0.625	0.594	-0.306	-0.043	-0.187	0.688	0.044	-0.114	0.782	0.101	0.698	0.666	-0.682	-0.269	-0.194	0.499	-0.147	-0.646
0.949	1.253	0.993	0.937	0.607	1.060	1.594	1.427	-0.998	0.121	2.462	2.211	1.802	-0.289	0.607	0.482	0.631	-1.100	0.501	1.422	1.082	1.430	1.369	0.229	0.818	1.039	0.875	-1.197	0.501
-0.198	0.079	-0.252	-0.254	-0.418	-0.785	-0.379	-0.375	-0.779	-0.862	0.233	0.136	0.067	-0.346	-0.829	-0.344	-0.381	-0.646	-0.728	0.354	0.682	0.278	0.198	0.339	-0.633	-0.037	0.021	-0.027	-0.567
0.378	-1.720	0.433	0.233	2.086	0.969	1.435	1.566	0.563	1.118	0.057	-0.030	0.095	-0.549	-0.127	0.369	0.228	-0.317	0.141	0.522	-1.405	0.528	0.389	0.908	0.661	1.490	1.036	0.510	0.944
0.662	0.191	0.713	0.506	0.139	0.971	1.135	1.024	-0.064	0.061	-0.366	-0.190	-0.192	-0.138	0.863	0.723	1.027	-0.450	0.298	0.315	0.451	0.483	0.177	0.400	1.350	1.505	1.352	0.248	0.623
3.715	0.600	3.709	4.533	0.927	1.648	2.487	3.579	-0.042	-0.722	1.554	1.461	1.942	-0.803	-0.006	-0.027	0.099	-0.580	-0.396	3.486	1.167	3.379	4.102	0.650	0.948	1.255	2.346	-0.072	-0.173
1.976	1.693	2.088	1.864	1.261	3.387	2.006	2.595	2.128	1.584	0.810	0.766	0.904	-0.929	1.235	0.226	0.628	-0.310	0.567	2.154	1.270	2.061	2.122	0.733	3.204	1.945	2.673	1.935	2.461
0.446	0.237	0.380	0.317	-0.028	-0.310	-0.287	0.077	-0.706	-1.035	-0.127	-0.228	0.014	-0.804	-0.159	-0.409	-0.329	-0.614	-0.516	0.795	1.162	0.656	0.682	0.396	0.638	0.086	0.601	0.867	0.131
0.327	0.725	0.286	0.158	-0.412	0.016	-0.440	-0.420	-0.309	0.053	-0.720	-0.753	-0.457	-1.249	-0.644	-0.469	-0.938	-1.067	-0.461	0.317	0.383	0.195	0.162	-0.099	0.481	0.435	0.122	0.443	0.763
1.187	-0.165	1.096	1.097	-0.745	-0.372	-0.089	0.238	-0.695	-1.211	-0.532	-0.519	-0.251	-1.390	-0.910	-0.589	-0.823	-1.192	-1.023	1.043	0.111	0.950	0.930	-0.393	-0.062	0.391	0.646	0.493	-0.806
0.026	0.891	0.099	-0.128	0.792	2.593	1.371	0.445	2.088	1.788	-0.430	-0.373	-0.189	0.309	6.138	2.806	0.788	3.700	2.995	-0.109	1.872	-0.026	-0.208	0.917	4.312	2.764	0.952	3.661	3.358
-0.507	1.760	-0.445	-0.504	0.501	0.586	0.247	-0.085	0.479	0.931	0.000	-0.111	-0.130	0.685	0.724	0.190	0.229	-0.213	0.709	-0.128	2.223	-0.165	-0.196	2.020	1.375	0.816	0.476	0.508	2.024
0.208	0.911	0.347	0.047	0.572	1.773	1.015	1.027	-0.272	0.556	-0.453	0.359	-0.333	0.346	1.437	0.782	1.140	0.594	0.195	-0.039	0.342	0.337	-0.168	-0.034	1.338	0.895	0.884	0.160	0.170
-0.101	0.698	-0.055	-0.188	1.681	0.423	0.623	0.421	0.082	0.846	0.771	1.009	0.206	2.251	0.447	0.489	1.427	0.768	0.193	0.025	1.356	0.129	-0.129	1.810	0.368	0.521	0.802	0.290	0.520
1.122	0.593	1.047	1.049	-1.611	-0.339	0.270	0.228	-0.152	-1.331	0.833	0.715	0.792	-0.503	1.535	0.968	0.428	0.104	0.469	0.722	-0.159	0.650	0.610	-1.934	-0.368	-0.090	-0.347	-0.860	-1.017
1.434	0.744	1.462	1.401	-0.791	0.728	0.284	0.485	-0.163	-1.063	0.110	0.478	0.305	-0.505	0.642	-0.160	0.067	-0.773	-0.150	1.467	1.038	1.760	1.418	-0.007	1.944	0.548	0.855	0.472	0.458
0.092	0.216	0.104	-0.035	0.168	0.308	0.366	0.280	0.505	0.264	-0.707	-0.702	-0.460	-0.998	-0.531	-0.394	-0.728	-0.644	-0.687	0.426	0.723	0.317	0.287	1.000	0.962	1.076	1.053	2.994	0.961
0.968	0.007	0.952	0.843	-0.475	0.293	0.186	0.669	-1.115	-1.117	-0.029	0.110	0.009	-0.317	0.012	-0.158	0.268	-0.557	-0.430	0.859	0.026	0.959	0.630	0.251	0.558	0.377	1.206	0.044	-0.292
2.600	1.716	2.754	2.927	1.261	1.970	3.305	2.914	1.417	-0.072	0.536	0.891	0.941	0.761	1.437	1.911	2.083	0.146	0.529	1.831	1.139	2.075	1.942	0.930	1.032	2.478	2.414	0.480	0.203
-0.090	1.037	-0.017	-0.162	2.555	1.372	0.840	1.104	1.603	1.616	0.576	0.516	0.272	0.594	0.313	-0.026	0.181	-0.068	0.269	0.606	2.631	0.632	0.478	3.952	1.695	0.922	1.319	2.475	1.365
0.282	-0.607	0.280	0.175	-0.540	-0.160	-0.167	-0.209	-0.794	-0.416	-0.483	-0.441	-0.305	-0.523	-0.351	-0.381	-0.573	-0.643	-0.345	0.311	-0.885	0.311	0.191	0.733	0.501	0.290	0.161	0.831	0.745
0.818	0.226	0.730	0.709	-0.614	-0.593	-0.242	0.128	0.782	-1.497	0.651	0.613	0.618	-0.667	-0.583	-0.412	-0.092	0.290	-0.459	0.731	-0.102	0.677	0.579	-0.932	-0.672	-0.379	-0.076	0.605	-1.066
1.831	0.663	1.759	1.805	-0.388	0.577	0.943	1.203	-0.170	-1.779	1.640	2.059	1.569	0.361	0.594	0.762	2.569	1.357	-0.540	1.442	0.352	1.519	1.362	-0.638	0.240	0.546	1.177	0.013	-1.401
3.968	-0.191	3.973	5.240	1.268	0.895	2.901	2.850	-0.597	-1.069	8.899	9.454	10.667	2.135	0.125	1.060	0.369	3.301	0.257	2.450	-1.173	2.418	2.843	-0.796	-0.653	0.230	0.683	-2.025	-1.589
0.934	1.458	0.927	0.833	0.301	0.194	0.996	0.439	-1.837	-0.586	0.449	0.446	0.400	8.023	3.354	3.707	4.453	0.146	3.312	0.373	0.389	0.391	0.247	-0.353	-0.476	0.039	-0.072	-2.098	-0.873
0.018	1.051	0.037	-0.126	-0.123	0.497	0.285	0.405	1.544	0.217	0.056	0.330	-0.205	1.279	0.649	0.165	0.725	2.957	0.368	0.122	1.492	0.230	-0.122	1.031	0.964	0.490	0.952	2.947	1.033
-0.076	-0.549	-0.042	-0.216	0.444	0.897	0.128	0.183	1.074	0.901	-0.537	-0.461	-0.388	-0.360	0.497	0.238	0.414	-0.139	0.289	-0.107	0.204	-0.085	-0.229	0.597	1.161	0.917	0.773	1.179	1.216
1.610	0.528	1.553	1.634	-0.180	0.497	0.482	0.979	1.030	-0.990	1.984	1.791	1.848	-0.079	0.347	0.085	0.863	-0.190	0.095	1.957	0.482	1.876	1.982	0.128	0.440	0.429	1.025	0.274	-0.077
1.533	3.064	1.483	1.614	-0.865	0.164	0.322	0.450	-1.399	-1.369	1.205	0.918	1.529	-0.500	0.054	-0.174	-0.165	-0.874	-0.582	2.406	3.211	2.171	2.804	0.369	0.988	0.610	0.729	-0.303	-0.458
0.460	0.223	0.438	0.302	0.437	0.304	0.325	0.405	0.450	0.033	-0.209	-0.308	-0.179	-0.758	-0.097	-0.267	-0.512	-0.341	-0.251	0.681	0.751	0.555	0.364	1.000	1.231	0.601	0.507	1.765	1.243
-0.368	0.707	-0.276	-0.431	0.884	1.431	1.012	0.507	1.136	1.380	-0.357	-0.301	-0.334	-0.019	0.732	0.495	0.518	-0.453	0.689	-0.221	0.728	-0.058	-0.307	1.985	1.780	1.706	1.264	0.818	2.234
0.829	-0.049	0.882	0.682	1.261	1.001	1.282	1.548	1.165	0.064	-0.394	-0.353	-0.184	-0.503	-0.301	-0.045	0.331	-1.061	-0.551	0.687	-0.128	0.781	0.542	1.661	0.884	1.101	2.125	0.337	0.369
1.811	1.981	1.746	1.887	-0.339	0.058	0.835	0.889	-1.326	-0.974	0.428	0.446	0.652	-0.673	-0.271	0.089	-0.144	-0.915	-0.343	1.697	1.904	1.650	1.741	-0.441	0.139	0.683	0.634	-0.750	-0.037
2.577	1.786	2.532	2.885	-0.090	1.209	1.332	1.927	0.355	0.041	2.354	2.167	2.538	-0.204	0.176	0.433	0.869	-0.562	-0.280	3.050	1.437	2.938	3.624	0.689	1.006	1.485	2.201	0.327	0.156
1.803	0.505	1.668	1.850	-0.911	-0.395	0.020	0.291	-1.257	-1.562	1.018	1.127	0.949	0.306	0.327	0.354	0.796	-0.863	0.052	1.645	0.080	1.620	1.527	-0.419	-0.147	0.209	0.455	-1.071	-0.702
0.946	4.648	0.882	0.755	0.125	0.482	0.664	1.010	-0.010	-0.444	0.474	0.067	0.190	-0.726	0.132	-0.195	0.315	-1.002	-0.391	1.291	3.123	1.010	0.926	0.181	0.758	0.249	1.400	-0.077	0.056
1.496	0.979	1.528	1.421	0.451	0.974	1.456	1.029	0.607	-0.396	0.430	0.579	0.441	1.189	0.393	0.240	0.615	0.159	0.058	1.113	0.790	1.120	0.942	0.610	0.270	0.353	0.636	0.031	-0.432
1.933	0.993	1.931	2.015	0.309	1.065	2.288	2.115	1.435	-0.541	2.159	1.734	2.145	-0.586	0.760	2.097	1.109	0.419	0.456	1.926	0.215	1.727	1.984	-0.494	0.400	2.046	1.459	0.364	-0.302
1.590	0.123	1.594	1.566	0.700	1.525	1.918	1.249	-0.287	0.591	1.302	0.618	1.153	0.480	1.401	1.196	1.283	-0.710	1.309	1.864	-0.014	1.564	1.848	1.692	2.169	2.764	2.070	-0.245	2.533
0.900	-0.514	0.866	0.777	0.316	-0.005	0.474	0.892	0.005	-0.944	-0.346	-0.333	-0.147	-0.761	-0.583	-0.284	0.134	-0.799	-0.542	0.741	-0.096	0.703	0.600	0.404	-0.087	0.314	1.082	0.383	-0.156
1.510	0.009	1.421	1.461	0.508	0.274	0.616	0.953	-0.130	-0.896	0.688	0.460	0.674	-0.797	-0.418	-0.146	0.142	-0.834	-0.470	1.951	-0.180	1.662	1.917	0.759	0.393	0.765	1.298	0.773	0.308
-0.047	-0.521	-0.022	-0.149	0.941	0.446	0.114	0.091	0.352	-0.212	0.072	-0.150	-0.101	-0.230	0.073	-0.023	0.263	0.009	-0.416	0.025	-0.587	0.025	-0.096	0.825	0.457	0.233	0.347	0.270	-0.242
1.539	2.204	1.713	1.569	-0.267	1.931	1.124	1.688	0.297	-0.068	1.577	2.123	1.452	-0.228	1.238	0.223	0.550	-0.143	0.551	1.817	1.723	2.123	1.836	-0.187	1.771	0.733	1.209	-0.134	0.917
0.338	-0.470	0.462	0.166	2.641	2.349	1.957	1.940	2.139	1.864	0.916	0.591	0.420	1.035	1.139	0.594	1.535	-0.206	1.839	0.302	-0.491	0.373	0.085	1.933	1.246	0.818	1.647	0.577	1.946
0.435	0.909	0.750	0.337	1.034	3.921	2.870	2.288	2.493	2.584	3.198	3.588	2.158	1.772	1.925	1.671	2.989	0.342	0.849	0.741	0.970	1.084	0.607	0.790	1.671	1.658	2.002	0.608	0.994
0.398	3.318	0.483	0.256	0.707	1.128	1.083	0.904	1.019	0.524	-0.589	-0.476	-0.381	-0.565	0.005	-0.100	-0.255	-1.282	-0.165	0.459	3.882	0.567	0.271	2.450	1.920	1.429	1.320	0.988	2.018
1.754	1.807	1.684	1.799	0.259	0.084	0.792	1.145	0.009	-1.002	-0.027	-0.138	0.264	-0.665	-0.542	-0.355	-0.585	-0.934	-0.719	1.668	2.194	1.638	1.692	0.869	0.256	0.511	0.838	0.404	-0.219
0.914	0.877	0.783	0.791	-0.693	-0.785	-0.751	-0.530	-0.903	-1.378	-0.016	-0.143	0.090	-0.438	-0.805	-0.644	-0.669	-0.778	-0.838	0.741	0.942	0.623	0.593	-0.367	-0.672	-0.724	-0.491	-0.725	-1.041
0.897	0.660	0.923	0.832	-0.453	0.435	0.102	0.674	1.081	-1.155	1.549	1.622	1.112	-0.108	1.917	0.480	1.571	0.838	0.772	0.853	0.254	0.912	0.728	-0.831	0.206	-0.203	0.581	0.269	-0.504
0.421	0.021	0.331	0.295	-1.277	-0.912	-0.586	-0.527	-0.965	-1.185	-0.632	-0.659	-0.399	-1.404	-0.914	-0.622	-1.073	-1.260	-0.926	0.339	0.975	0.257	0.190	-1.050	-0.468	-0.221	-0.440	-0.352	-0.867
0.869	0.646	0.808	0.777	0.064	-0.272	0.023	0.421	0.202	-0.991	0.055	-0.023	0.112	-0.849	-0.749	-0.378	-0.311	-1.101	-0.839	1.099	0.594	0.989	0.976	1.026	0.015	0.559	1.275	0.510	-0.457
1.874	2.751	1.800	2.171	-0.119	0.189	0.601	0.967	-0.155	-0.858	2.765	2.415	3.503	-0.829	-0.597	-0.347	-0.408	-0.831	-0.565	3.356	3.495	3.177	4.481	0.339	0.064	0.345	0.780	-0.053	-0.098
2.163	0.395	2.277	2.376	-0.167	1.737	1.640	1.543	-0.331	-0.121	2.747	2.968	2.560	-0.451	1.347	1.040	0.618	-0.158	0.310	2.466	0.407	2.638	2.641	-0.226	1.387	1.479	1.057	-0.110	0.257
1.079	1.207	0.956	0.978	-0.555	-0.645	-0.399	-0.038	-0.998	-1.090	0.058	-0.050	0.120	-0.532	-0.770	-0.519	-0.531	-0.768	-0.395	0.962	1.466	0.828	0.772	-0.038	-0.468	-0.308	-0.015	-0.641	-0.247
1.329	0.161	1.191	1.271	-0.507	-0.862	-0.108	0.245	-0.954	-1.818	-0.277	-0.249	-0.079	0.177	-0.801	-0.188	0.459	-0.150	-0.801	0.764	-0.224	0.647	0.624	-0.353	-0.879	-0.245	0.225	-0.539	-1.471
1.428	1.700	1.409	1.373	0.401	0.776	1.296	1.230	0.330	-0.085	0.833	0.720	0.644	0.117	-0.055	0.265	0.184	-0.749	-0.132	1.542	1.663	1.564	1.481	2.007	0.825	1.453	1.104	0.577	0.734
1.496	-0.258	1.450	1.393	0.522	0.755	0.926	1.178	0.297	-0.549	0.237	0.018	0.282	-0.462	-0.195	-0.043	0.518	-0.522	-0.692	1.556	0.484	1.343	1.313	0.851	0.767	0.764	1.682	1.114	-0.336
0.600	-0.121	0.693	0.427	0.728	1.436	1.330	1.072	0.235	0.573	-0.425	-0.199	-0.269	-0.825	0.521	0.226	0.048	-0.806	0.108	0.472	-0.096	0.584	0.264	0.181	1.375	1.104	0.891	-0.211	1.238
-0.672	-0.267	-0.698	-0.636	0.236	-0.856	-0.777	-0.355	-0.703	0.010	0.865	0.629	0.193	-0.481	-0.862	-0.635	0.409	-0.580	-0.392	-0.602	-0.372	-0.660	-0.574	-0.818	-1.109	-1.011	-0.654	-1.492	-0.819
1.533	-0.091	1.545	1.597	1.325	1.133	1.642	1.476	-0.072	0.386	2.545	2.162	2.037	-0.328	0.366	0.811	0.897	-0.206	0.375	1.999	0.092	1.900	2.059	0.750	1.000	1.629	1.269	0.109	0.850
1.692	1.063	1.759	1.683	0.828	1.505	1.750	2.038	1.595	1.684	2.405	2.442	1.989	0.307	1.220	1.477	1.226	0.825	0.806	1.533	0.611	1.534	1.432	0.102	0.539	1.059	1.182	0.636	0.595
1.161	-0.098	1.100	1.057	0.078	0.139	0.304	0.788	-0.017	-0.872	-0.004	-0.158	0.188	-0.739	-0.496	-0.259	-0.059	-0.943	-0.508	1.153	-0.110	1.001	1.062	0.483	0.140	0.542	0.958	-0.143	-0.109
1.712	0.086	1.610	1.759	-1.149	-0.354	0.335	0.730	0.425	-1.677	0.676	0.496	0.759	-0.834	-0.654	-0.180	0.109	0.168	-0.834	1.405	-0.431	1.278	1.364	-1.181	-0.639	-0.056	0.424	0.249	-1.363
1.763	0.516	1.808	1.731	1.468	1.575	2.104	2.615	2.763	0.553	0.595	0.567	0.631	-0.518	-0.065	0.000	0.307	0.863	-0.170	1.868	1.006	1.900	1.857	1.175	1.239	1.257	2.341	4.295	1.022
0.608	0.330	0.614	0.451	1.460	0.522	0.740	0.927	0.497	-0.004	0.117	0.200	0.090	-0.115	-0.260	0.019	0.344	-0.627	-0.380	0.623	0.765	0.671	0.422	1.166	0.257	0.419	0.665	0.327	-0.108
0.605	0.602	0.639	0.489	1.432	0.454	1.143	0.796	0.209	0.357	0.597	0.047	0.382	1.172	0.675	0.878	0.010	2.380	0.904	0.302	-0.076	0.192	0.166	0.448	-0.271	0.298	-0.151	-0.266	-0.244
0.540	-0.879	0.569	0.393	-0.103	0.620	0.396	0.554	-0.108	-0.430	-0.245	-0.117	-0.155	-0.400	0.389	0.174	0.453	-0.710	-0.255	0.515	-0.602	0.507	0.333	0.488	1.230	1.071	1.270	0.191	0.404
0.832	0.398	0.816	0.749	1.105	0.024	0.778	1.299	-0.309	-0.296	1.482	1.588	1.029	-0.195	-0.419	0.435	0.915	-0.272	-0.023	0.977	1.216	1.070	0.846	0.549	-0.311	0.574	1.036	-0.449	-0.440
1.317	0.498	1.273	1.242	-0.370	0.679	0.216	0.309	0.516	-0.279	0.855	0.743	1.053	0.169	0.753	0.240	1.031	0.138	0.246	1.711	1.414	1.602	1.743	0.763	1.452	0.917	1.372	1.258	0.817
2.662	1.158	2.598	3.103	0.749	0.454	1.781	2.373	-0.053	-1.096	2.177	1.779	2.721	-0.249	-0.322	0.130	0.197	-0.696	-0.256	2.980	0.822	2.831	3.557	0.838	0.086	1.005	1.435	-0.497	-0.364
1.576	0.556	1.561	1.532	0.114	0.560	1.223	1.582	0.986	-0.800	0.784	1.141	0.601	-0.761	0.458	0.383	1.015	2.059	-0.192	1.341	1.462	1.498	1.158	-0.463	0.582	0.964	1.687	1.850	-0.264
0.460	-0.016	0.623	0.295	1.987	2.501	2.541	1.940	2.055	1.874	0.416	0.302	0.239	0.762	2.240	2.241	1.788	4.220	1.336	0.226	-0.245	0.361	0.061	0.991	1.591	1.989	1.504	2.173	1.166
3.292	-0.425	3.384	3.851	1.318	2.499	3.111	3.669	0.527	-0.225	2.126	2.154	2.479	-0.224	0.947	0.357	0.532	0.340	-0.155	3.489	-0.341	3.632	4.133	0.904	2.157	1.787	2.449	1.276	0.233
0.270	1.500	0.248	0.175	0.429	-0.126	0.435	0.428	-0.600	0.261	0.895	0.647	0.506	1.159	-0.065	0.571	0.918	0.080	0.405	0.464	1.227	0.415	0.298	1.473	-0.119	0.627	0.578	-0.399	0.578
1.791	0.579	1.722	1.813	-0.346	0.166	0.115	0.746	-0.706	-1.024	0.624	0.669	0.706	-0.277	-0.358	-0.270	0.456	-0.737	-0.714	1.664	0.113	1.605	1.580	0.015	-0.106	-0.010	0.942	-0.472	-0.919
1.723	1.753	1.717	1.646	0.191	1.185	0.945	1.999	0.231	-0.368	2.059	2.108	1.391	0.466	1.187	0.899	2.198	2.003	0.186	1.639	1.323	1.569	1.388	-0.200	0.555	0.470	1.530	0.598	-0.422
2.152	-0.474	2.014	2.532	-0.179	-0.354	0.351	0.921	-0.345	-1.736	2.891	2.407	4.040	-0.491	-0.802	-0.362	0.028	-0.957	-0.753	2.996	0.124	2.745	3.974	0.172	-0.581	0.067	1.025	-0.632	-1.052
2.237	0.607	2.273	2.350	0.707	1.724	1.957	2.608	0.045	-0.198	2.174	2.322	1.975	-1.020	0.153	0.128	0.472	-0.649	0.000	2.357	0.020	2.611	2.365	-0.130	0.853	0.975	1.956	-0.258	0.099
0.631	0.930	0.701	0.527	0.075	0.859	1.158	1.000	1.326	-0.087	0.094	0.052	0.113	-0.468	0.765	0.955	0.772	1.382	0.110	0.644	0.871	0.656	0.500	0.400	1.349	2.092	1.676	3.109	0.675
2.055	-0.974	2.030	2.078	0.266	0.893	1.310	1.974	0.589	-0.137	-0.230	-0.227	-0.028	-0.871	0.071	0.082	0.265	-0.459	0.216	1.328	-0.624	1.334	1.149	-0.577	0.189	0.624	1.247	-0.276	0.150
1.848	-0.451	1.763	1.933	-0.135	0.062	0.802	1.044	-0.878	-1.136	0.752	0.620	0.806	-0.276	-0.365	-0.168	0.085	-0.941	-0.788	1.883	-0.408	1.772	1.871	1.044	0.326	0.689	1.470	-0.342	-0.742
-0.865	-0.107	-0.768	-0.833	1.795	2.103	1.005	0.380	1.402	2.366	-0.699	-0.567	-0.579	0.121	1.117	0.463	0.258	-0.383	0.242	-0.627	1.162	-0.461	-0.654	3.768	4.345	2.723	2.096	2.026	3.120
0.134	0.930	0.082	0.028	-0.678	-0.719	-0.061	0.098	-0.673	-1.223	0.038	0.024	-0.161	0.423	-0.450	0.066	0.642	-0.380	-0.349	-0.099	0.982	-0.151	-0.215	-0.051	-0.611	-0.022	0.324	-0.685	-0.863
1.539	0.911	1.520	1.475	0.330	0.520	1.214	1.371	0.647	-0.561	0.741	1.245	0.654	1.398	0.865	1.418	3.665	0.863	0.924	0.942	0.775	1.034	0.759	-0.318	-0.082	0.531	1.033	-0.525	-0.439
0.387	0.158	0.429	0.255	1.396	0.982	1.258	1.088	0.428	0.658	0.872	0.895	0.584	0.076	0.212	0.591	0.745	-0.245	0.165	1.020	0.607	1.037	0.840	1.565	0.871	1.357	1.483	0.463	0.994
2.123	0.695	2.158	2.137	1.446	1.976	2.411	2.765	1.278	0.462	0.790	0.639	0.894	-0.608	0.658	0.506	0.176	-0.011	0.088	2.061	0.498	1.927	2.108	0.781	2.018	2.076	1.941	1.499	0.928
1.073	0.402	1.335	0.964	1.894	2.902	2.886	1.827	1.099	1.183	-0.008	0.127	0.026	0.039	0.653	0.986	-0.208	-0.560	0.493	0.937	0.342	1.260	0.744	2.406	2.145	3.026	1.244	0.556	1.985
1.096	0.319	1.063	0.957	0.515	0.493	0.393	1.013	0.658	-0.299	0.175	0.096	0.208	0.063	0.125	-0.225	0.487	-0.774	-0.173	0.995	-0.043	0.918	0.823	0.693	0.758	0.278	1.260	0.257	0.060
0.285	2.446	0.195	0.184	-0.936	-1.104	-0.526	-0.555	0.147	-1.396	0.227	0.088	0.111	-0.070	-0.626	-0.232	-0.439	1.327	-0.773	0.205	1.828	0.084	0.089	-0.769	-0.989	-0.563	-0.743	0.537	-1.234
0.390	0.416	0.450	0.421	1.112	0.999	0.795	0.925	0.997	0.827	3.479	3.244	2.993	0.385	0.749	0.432	1.555	-0.044	0.763	1.428	0.321	1.483	1.524	0.847	0.928	0.714	1.503	0.165	1.155
0.219	0.753	0.417	0.086	0.221	2.237	2.314	1.242	0.837	0.876	-0.549	0.297	-0.355	-0.025	2.047	1.569	1.709	-0.672	0.752	0.017	0.308	0.540	-0.084	0.417	2.890	3.018	2.022	-0.056	1.747
1.718	0.058	1.722	1.691	1.204	0.844	1.562	1.984	-0.320	-0.321	0.101	0.070	0.267	0.681	0.093	0.781	1.184	0.480	0.079	1.192	-0.099	1.153	1.051	1.495	0.254	1.240	1.562	0.212	-0.177
1.332	0.623	1.306	1.293	0.387	0.654	0.886	0.993	0.479	-0.209	1.493	0.805	1.397	0.344	0.860	0.706	1.061	0.398	0.272	1.322	0.855	1.132	1.269	0.290	0.585	0.570	0.855	0.172	-0.045
-0.042	0.077	-0.035	-0.157	0.685	0.170	0.299	0.405	-0.520	0.374	-0.665	-0.625	-0.472	-0.575	-0.423	-0.333	-0.361	-1.006	-0.359	0.159	0.833	0.198	-0.020	1.267	0.652	0.646	1.036	0.450	1.193
0.892	1.425	0.841	0.778	-0.928	0.124	0.396	0.218	-1.257	-1.236	0.378	0.206	0.397	0.356	0.983	0.581	0.911	-0.557	-0.021	0.851	1.592	0.760	0.709	0.492	1.004	1.109	0.902	-0.648	-0.249
1.107	-0.567	1.051	0.952	-0.490	0.357	0.253	0.351	-0.334	-0.708	-0.384	-0.467	-0.100	-0.974	-0.552	-0.071	-0.331	-0.918	-0.514	0.851	-0.595	0.775	0.723	-0.266	0.078	0.752	0.592	-0.095	-0.094
1.028	2.032	1.042	0.928	0.257	0.512	1.016	0.877	-0.360	-0.515	-0.056	0.003	0.079	-0.775	-0.298	0.168	-0.113	-0.989	-0.468	1.088	2.093	1.135	0.977	0.339	0.775	1.763	1.253	0.115	0.377
1.979	0.286	1.898	2.072	0.034	0.249	0.858	1.716	-0.940	-0.876	0.934	0.829	0.913	-0.524	-0.264	-0.001	0.464	-1.240	-0.601	1.947	1.040	1.814	2.005	0.194	0.355	0.804	1.725	-1.023	-0.537
1.550	1.328	1.470	1.523	0.486	-0.107	0.962	1.075	-0.542	-1.259	0.224	0.025	0.348	1.618	-0.346	0.569	0.518	-0.500	-0.751	1.070	0.860	0.968	0.949	0.895	-0.443	0.602	0.487	-0.982	-1.275
0.838	1.828	0.791	0.784	0.186	0.126	0.149	0.397	-0.068	0.002	1.889	1.575	1.646	0.566	-0.184	-0.155	0.451	-0.011	0.235	1.384	1.434	1.334	1.348	1.210	-0.063	-0.040	0.622	0.177	0.368
3.772	1.623	3.907	5.246	0.856	1.789	3.446	3.092	0.910	-0.930	7.724	7.807	11.032	0.203	1.578	1.612	2.299	-0.432	0.288	4.091	0.926	4.284	5.925	0.146	1.089	1.971	2.250	-0.420	-0.536
0.985	0.939	1.112	0.925	-0.247	1.819	1.565	1.322	-0.422	1.543	1.889	1.452	1.419	-0.092	2.500	1.127	1.834	-0.461	2.836	1.097	0.519	1.081	0.977	-0.511	1.425	1.171	1.293	-0.969	2.129
0.602	0.051	0.734	0.457	0.444	1.609	1.691	1.109	1.238	0.422	-0.326	0.101	-0.159	0.718	1.632	1.620	1.678	0.870	0.968	0.232	-0.427	0.442	0.104	0.234	1.220	1.522	0.957	0.674	0.411
1.508	-0.109	1.487	1.455	0.892	0.766	1.716	1.816	0.042	-0.233	0.580	0.378	0.602	-0.584	0.159	0.353	-0.006	-0.408	-0.221	1.591	0.767	1.388	1.509	0.834	0.751	1.541	1.390	0.590	0.340
0.727	0.212	0.623	0.576	-1.521	-0.629	-0.656	-0.666	0.125	-1.352	-0.569	-0.540	-0.382	-1.457	-0.615	-0.585	-1.053	-0.113	-0.792	0.602	0.144	0.596	0.357	-1.378	0.240	-0.117	-0.414	2.871	-0.427
1.102	0.295	1.088	1.001	0.266	0.465	0.354	0.740	1.110	-0.287	1.261	1.230	1.086	0.318	0.085	0.181	0.759	1.020	0.076	1.088	0.062	1.075	0.958	-0.064	-0.137	-0.085	0.522	0.566	-0.426
1.238	-0.411	1.207	1.174	0.344	0.518	0.756	1.106	0.074	0.591	1.396	0.982	1.219	0.311	0.372	0.413	0.638	-0.529	0.552	1.341	-0.455	1.165	1.264	0.387	0.347	0.389	0.786	-0.632	0.582
1.834	0.453	1.886	1.890	0.863	1.137	1.631	1.628	0.133	-0.082	0.668	0.663	0.764	-0.125	0.136	0.289	0.485	-1.134	-0.026	1.571	0.827	1.665	1.545	0.615	0.670	1.178	1.471	-0.680	0.335
-0.087	1.209	0.015	-0.168	1.411	1.207	0.588	0.481	1.690	1.356	0.252	0.053	-0.028	0.879	0.730	0.095	0.707	0.459	1.209	-0.054	1.182	-0.038	-0.163	2.060	0.905	0.316	0.570	1.213	1.902
2.543	0.126	2.475	2.919	-0.209	0.439	0.988	1.324	-1.118	-1.127	3.194	3.348	3.075	-0.429	0.451	0.261	1.582	0.178	-0.339	3.004	-0.294	3.102	3.340	-0.546	0.688	0.514	1.701	0.012	-0.619
0.378	1.084	0.487	0.217	1.560	1.565	1.433	0.935	-0.017	1.138	-0.260	0.035	-0.172	0.832	1.336	0.937	1.396	0.061	0.833	0.174	1.733	0.311	0.051	1.788	1.541	1.529	1.547	0.181	1.260
-0.206	0.286	-0.137	-0.279	1.012	0.806	0.699	0.845	1.110	1.480	-0.053	0.112	-0.147	-0.542	-0.158	0.087	0.250	-0.422	0.079	0.029	0.648	0.180	-0.064	1.096	0.835	1.143	1.377	1.106	1.492
0.262	-0.051	0.218	0.134	-0.299	-0.348	-0.175	-0.144	-0.914	-0.517	-0.069	-0.117	-0.041	-0.696	-0.513	-0.074	-0.385	-1.091	-0.785	0.271	0.388	0.195	0.152	-0.340	-0.281	0.069	-0.040	-1.000	-0.798
1.187	0.300	1.187	1.128	0.742	0.387	0.854	1.175	0.176	-0.480	0.504	0.174	0.594	-0.288	-0.375	-0.092	-0.217	-0.599	-0.404	1.157	0.085	1.040	1.076	0.737	-0.004	0.497	0.554	0.280	-0.294
1.635	0.226	1.586	1.589	0.522	0.505	0.656	1.170	-0.035	-0.130	0.370	0.390	0.426	-0.650	-0.137	-0.046	-0.003	-1.206	-0.153	1.544	-0.073	1.584	1.344	0.409	0.487	0.701	0.710	-0.569	0.411
2.980	0.537	3.026	3.370	0.472	2.012	1.784	2.530	0.654	0.650	2.114	2.069	2.189	-0.683	0.371	0.126	0.676	-0.212	0.365	2.824	0.204	2.930	3.094	0.080	1.046	0.928	2.022	0.414	0.707
1.800	0.321	1.759	1.830	-0.341	0.510	0.797	1.355	1.293	-1.219	1.545	1.139	1.320	-0.700	0.302	0.299	0.842	0.922	-0.407	1.440	0.240	1.331	1.343	-0.993	-0.005	0.177	0.710	0.516	-1.112
1.823	0.365	1.886	1.856	0.586	1.317	1.502	2.146	1.150	-0.041	1.058	0.910	1.043	-0.820	0.038	0.270	0.391	-0.129	-0.418	1.662	-0.032	1.575	1.631	-0.244	0.376	0.820	1.524	0.285	-0.457
0.040	0.758	0.074	-0.071	0.529	0.209	0.721	0.321	0.417	-0.422	-0.730	-0.480	-0.479	-0.309	0.020	0.482	0.156	-0.730	-0.015	-0.203	1.398	-0.088	-0.267	0.247	0.121	0.725	0.329	-0.328	-0.024
0.310	2.634	0.470	0.176	0.600	1.976	2.085	1.169	1.154	1.235	-0.523	-0.249	-0.389	-0.805	1.282	1.381	0.694	0.100	0.887	0.259	2.784	0.638	0.060	0.409	3.416	4.303	1.841	1.921	3.153
1.928	1.349	2.100	1.967	0.963	2.258	2.868	2.538	1.231	0.849	2.009	2.914	1.725	-0.214	0.984	1.542	2.341	0.003	0.914	1.660	0.607	2.138	1.648	0.365	1.044	1.858	2.124	0.046	0.819
2.109	0.721	2.059	2.342	1.041	0.219	1.946	2.319	-0.312	-0.930	2.780	2.377	2.602	1.085	0.192	0.665	2.065	-1.137	0.168	1.900	0.118	1.751	2.014	0.378	-0.273	0.664	1.628	-1.359	-0.708
1.703	2.083	1.615	1.722	0.102	-0.018	0.692	1.263	-0.217	-1.058	1.299	1.156	1.290	-0.424	-0.070	0.252	0.808	-0.189	-0.490	1.535	2.046	1.421	1.494	-0.691	-0.394	0.236	0.733	-0.531	-0.973
0.702	2.044	0.672	0.577	-0.840	-0.039	0.047	0.106	-0.808	-0.895	0.185	0.276	0.181	-0.379	0.661	0.510	0.612	-0.891	0.037	0.561	1.374	0.578	0.428	-0.809	0.350	0.326	0.414	-1.104	-0.318
1.837	2.334	1.981	1.734	1.524	3.269	3.294	2.657	2.135	1.043	1.157	1.437	1.009	-0.173	2.016	1.301	0.785	0.326	0.903	1.960	2.236	2.302	1.652	1.429	3.901	3.195	2.288	1.917	2.218

Menjalankan PCA

pca_res <- prcomp(data_std)
summary(pca_res)

## Importance of components:
##                           PC1    PC2     PC3     PC4     PC5     PC6     PC7
## Standard deviation     3.6439 2.3780 1.60315 1.33285 1.22156 1.09801 0.81940
## Proportion of Variance 0.4579 0.1950 0.08862 0.06126 0.05146 0.04157 0.02315
## Cumulative Proportion  0.4579 0.6529 0.74148 0.80274 0.85420 0.89577 0.91892
##                            PC8     PC9    PC10    PC11    PC12    PC13    PC14
## Standard deviation     0.66046 0.62185 0.57086 0.52309 0.49418 0.39629 0.30793
## Proportion of Variance 0.01504 0.01333 0.01124 0.00944 0.00842 0.00542 0.00327
## Cumulative Proportion  0.93396 0.94730 0.95854 0.96797 0.97639 0.98181 0.98508
##                           PC15    PC16    PC17    PC18    PC19    PC20    PC21
## Standard deviation     0.28424 0.25068 0.23289 0.22889 0.21857 0.17618 0.16596
## Proportion of Variance 0.00279 0.00217 0.00187 0.00181 0.00165 0.00107 0.00095
## Cumulative Proportion  0.98786 0.99003 0.99190 0.99371 0.99535 0.99643 0.99738
##                           PC22    PC23    PC24    PC25    PC26    PC27    PC28
## Standard deviation     0.15602 0.13477 0.12649 0.09057 0.08319 0.03996 0.02770
## Proportion of Variance 0.00084 0.00063 0.00055 0.00028 0.00024 0.00006 0.00003
## Cumulative Proportion  0.99821 0.99884 0.99939 0.99968 0.99991 0.99997 1.00000
##                           PC29
## Standard deviation     0.01155
## Proportion of Variance 0.00000
## Cumulative Proportion  1.00000

Eigenvalue (Kaiser Rule)

eigenvalue <- pca_res$sdev^2
eigenvalue

##  [1] 1.327791e+01 5.655043e+00 2.570075e+00 1.776496e+00 1.492201e+00
##  [6] 1.205619e+00 6.714163e-01 4.362111e-01 3.867030e-01 3.258819e-01
## [11] 2.736236e-01 2.442144e-01 1.570474e-01 9.482067e-02 8.079034e-02
## [16] 6.284287e-02 5.423985e-02 5.238872e-02 4.777190e-02 3.103952e-02
## [21] 2.754293e-02 2.434090e-02 1.816173e-02 1.599933e-02 8.203097e-03
## [26] 6.921200e-03 1.596990e-03 7.672311e-04 1.333158e-04

sum(eigenvalue > 1)

## [1] 6

prop_var <- eigenvalue / sum(eigenvalue)

percent_var <- prop_var * 100

cum_percent <- cumsum(percent_var)

hasil_pca <- data.frame(
  Eigenvalue = eigenvalue,
  Percent_Variance = percent_var,
  Cumulative_Percent = cum_percent
)

round(hasil_pca, 2)

##    Eigenvalue Percent_Variance Cumulative_Percent
## 1       13.28            45.79              45.79
## 2        5.66            19.50              65.29
## 3        2.57             8.86              74.15
## 4        1.78             6.13              80.27
## 5        1.49             5.15              85.42
## 6        1.21             4.16              89.58
## 7        0.67             2.32              91.89
## 8        0.44             1.50              93.40
## 9        0.39             1.33              94.73
## 10       0.33             1.12              95.85
## 11       0.27             0.94              96.80
## 12       0.24             0.84              97.64
## 13       0.16             0.54              98.18
## 14       0.09             0.33              98.51
## 15       0.08             0.28              98.79
## 16       0.06             0.22              99.00
## 17       0.05             0.19              99.19
## 18       0.05             0.18              99.37
## 19       0.05             0.16              99.54
## 20       0.03             0.11              99.64
## 21       0.03             0.09              99.74
## 22       0.02             0.08              99.82
## 23       0.02             0.06              99.88
## 24       0.02             0.06              99.94
## 25       0.01             0.03              99.97
## 26       0.01             0.02              99.99
## 27       0.00             0.01             100.00
## 28       0.00             0.00             100.00
## 29       0.00             0.00             100.00

Scree Plot

fviz_eig(pca_res,
         addlabels = TRUE,
         ylim = c(0, 100))

## Warning in geom_bar(stat = "identity", fill = barfill, color = barcolor, :
## Ignoring empty aesthetic: `width`.

Pengambilan 6 PC

loading <- pca_res$rotation[,1:6]
round(loading, 3)

##                       PC1    PC2    PC3    PC4    PC5    PC6
## x.radius_mean       0.219  0.233  0.004 -0.024  0.078 -0.025
## x.texture_mean      0.103  0.068  0.098  0.496 -0.463  0.071
## x.perimeter_mean    0.228  0.214  0.004 -0.024  0.077 -0.024
## x.area_mean         0.221  0.231 -0.035 -0.039  0.046 -0.002
## x.smoothness_mean   0.143 -0.189  0.086 -0.371 -0.150  0.286
## x.compactness_mean  0.239 -0.155  0.058 -0.035  0.052  0.009
## x.concavity_mean    0.258 -0.061 -0.016  0.033  0.088  0.004
## x.concave_pts_mean  0.261  0.033  0.015 -0.092  0.030  0.047
## x.symmetry_mean     0.138 -0.191  0.036 -0.230 -0.225 -0.349
## x.fractal_dim_mean  0.064 -0.368 -0.001 -0.061 -0.013  0.120
## x.radius_se         0.206  0.111 -0.281 -0.100 -0.171  0.038
## x.perimeter_se      0.211  0.095 -0.279 -0.074 -0.147  0.010
## x.area_se           0.203  0.156 -0.233 -0.105 -0.126  0.053
## x.smoothness_se     0.014 -0.197 -0.313 -0.080 -0.296  0.366
## x.compactness_se    0.170 -0.231 -0.179  0.233  0.140 -0.070
## x.concavity_se      0.153 -0.195 -0.212  0.254  0.218 -0.061
## x.concave_pts_se    0.183 -0.127 -0.263  0.109  0.129  0.028
## x.symmetry_se       0.042 -0.177 -0.289 -0.096 -0.321 -0.471
## x.fractal_dim_se    0.102 -0.277 -0.246  0.201  0.138  0.053
## x.radius_worst      0.228  0.218  0.051 -0.033  0.033 -0.003
## x.texture_worst     0.104  0.053  0.224  0.455 -0.448  0.083
## x.perimeter_worst   0.237  0.198  0.051 -0.025  0.041 -0.012
## x.area_worst        0.225  0.219  0.014 -0.045  0.005  0.024
## x.smoothness_worst  0.128 -0.178  0.269 -0.258 -0.173  0.374
## x.compactness_worst 0.210 -0.150  0.242  0.094  0.113 -0.055
## x.concavity_worst   0.229 -0.103  0.173  0.130  0.166 -0.037
## x.concave_pts_worst 0.251  0.003  0.164 -0.024  0.105  0.022
## x.symmetry_worst    0.123 -0.148  0.284 -0.158 -0.182 -0.494
## x.fractal_dim_worst 0.132 -0.282  0.232  0.071  0.093  0.075

Factor Analysis

Rotasi Varimax

Ekstraksi Faktor dengan Metode Maximum Likilihood

fa_ml <- fa(data_std,
            nfactors = 6,
            rotate = "varimax",
            fm = "ml")
round(fa_ml$loadings[,1:6], 3)

##                        ML1    ML4    ML3    ML2    ML6    ML5
## x.radius_mean        0.966  0.042  0.063  0.099 -0.145 -0.168
## x.texture_mean       0.239  0.006  0.092  0.902  0.029 -0.018
## x.perimeter_mean     0.962  0.078  0.104  0.100 -0.128 -0.167
## x.area_mean          0.976  0.029  0.062  0.094 -0.074 -0.114
## x.smoothness_mean    0.181  0.809  0.054 -0.102  0.396 -0.150
## x.compactness_mean   0.454  0.614  0.570  0.060  0.095 -0.088
## x.concavity_mean     0.634  0.433  0.554  0.108  0.082 -0.095
## x.concave_pts_mean   0.794  0.436  0.307  0.074  0.076 -0.146
## x.symmetry_mean      0.150  0.511  0.299 -0.008  0.255 -0.003
## x.fractal_dim_mean  -0.313  0.599  0.501 -0.080  0.303  0.075
## x.radius_se          0.806  0.021  0.174  0.065  0.457  0.306
## x.perimeter_se       0.789  0.023  0.252  0.072  0.442  0.276
## x.area_se            0.849 -0.009  0.113  0.058  0.365  0.254
## x.smoothness_se     -0.158  0.133  0.173 -0.021  0.587 -0.018
## x.compactness_se     0.162  0.224  0.869  0.072  0.139  0.010
## x.concavity_se       0.158  0.132  0.809  0.045  0.127 -0.002
## x.concave_pts_se     0.368  0.171  0.647 -0.002  0.258 -0.062
## x.symmetry_se       -0.052  0.002  0.344 -0.037  0.476  0.020
## x.fractal_dim_se    -0.052  0.166  0.753 -0.017  0.252  0.059
## x.radius_worst       0.957  0.156  0.032  0.139 -0.184  0.026
## x.texture_worst      0.193  0.166  0.019  0.960 -0.082  0.025
## x.perimeter_worst    0.950  0.185  0.091  0.140 -0.176  0.025
## x.area_worst         0.955  0.139  0.017  0.130 -0.133  0.105
## x.smoothness_worst   0.093  0.890 -0.022  0.072  0.116 -0.017
## x.compactness_worst  0.316  0.626  0.559  0.174 -0.212  0.021
## x.concavity_worst    0.434  0.532  0.575  0.177 -0.194 -0.018
## x.concave_pts_worst  0.676  0.545  0.331  0.126 -0.155 -0.071
## x.symmetry_worst     0.107  0.587  0.193  0.100 -0.149  0.065
## x.fractal_dim_worst -0.067  0.693  0.528  0.100 -0.095  0.105

print(fa_ml$loadings, cutoff = 0.4)

## 
## Loadings:
##                     ML1    ML4    ML3    ML2    ML6    ML5   
## x.radius_mean        0.966                                   
## x.texture_mean                            0.902              
## x.perimeter_mean     0.962                                   
## x.area_mean          0.976                                   
## x.smoothness_mean           0.809                            
## x.compactness_mean   0.454  0.614  0.570                     
## x.concavity_mean     0.634  0.433  0.554                     
## x.concave_pts_mean   0.794  0.436                            
## x.symmetry_mean             0.511                            
## x.fractal_dim_mean          0.599  0.501                     
## x.radius_se          0.806                       0.457       
## x.perimeter_se       0.789                       0.442       
## x.area_se            0.849                                   
## x.smoothness_se                                  0.587       
## x.compactness_se                   0.869                     
## x.concavity_se                     0.809                     
## x.concave_pts_se                   0.647                     
## x.symmetry_se                                    0.476       
## x.fractal_dim_se                   0.753                     
## x.radius_worst       0.957                                   
## x.texture_worst                           0.960              
## x.perimeter_worst    0.950                                   
## x.area_worst         0.955                                   
## x.smoothness_worst          0.890                            
## x.compactness_worst         0.626  0.559                     
## x.concavity_worst    0.434  0.532  0.575                     
## x.concave_pts_worst  0.676  0.545                            
## x.symmetry_worst            0.587                            
## x.fractal_dim_worst         0.693  0.528                     
## 
##                   ML1   ML4   ML3   ML2   ML6   ML5
## SS loadings    10.004 4.876 4.826 1.983 1.894 0.412
## Proportion Var  0.345 0.168 0.166 0.068 0.065 0.014
## Cumulative Var  0.345 0.513 0.680 0.748 0.813 0.827

Rasio Kuadrat Loading

load_mat <- as.data.frame(unclass(fa_ml$loadings))

cutoff <- 0.4

ratio_sq <- apply(load_mat, 1, function(x){
  
  signif_load <- abs(x[abs(x) >= cutoff])
  
  if(length(signif_load) < 2){
    return(NA)
  }
  
  signif_sq <- signif_load^2
  
  sorted_sq <- sort(signif_sq, decreasing = TRUE)
  
  return(sorted_sq[1] / sorted_sq[2])
})

hasil_ratio <- cbind(load_mat, Ratio_Squared = ratio_sq)

hasil_ratio[, sapply(hasil_ratio, is.numeric)] <-
  round(hasil_ratio[, sapply(hasil_ratio, is.numeric)], 3)

hasil_ratio

##                        ML1    ML4    ML3    ML2    ML6    ML5 Ratio_Squared
## x.radius_mean        0.966  0.042  0.063  0.099 -0.145 -0.168            NA
## x.texture_mean       0.239  0.006  0.092  0.902  0.029 -0.018            NA
## x.perimeter_mean     0.962  0.078  0.104  0.100 -0.128 -0.167            NA
## x.area_mean          0.976  0.029  0.062  0.094 -0.074 -0.114            NA
## x.smoothness_mean    0.181  0.809  0.054 -0.102  0.396 -0.150            NA
## x.compactness_mean   0.454  0.614  0.570  0.060  0.095 -0.088         1.161
## x.concavity_mean     0.634  0.433  0.554  0.108  0.082 -0.095         1.309
## x.concave_pts_mean   0.794  0.436  0.307  0.074  0.076 -0.146         3.316
## x.symmetry_mean      0.150  0.511  0.299 -0.008  0.255 -0.003            NA
## x.fractal_dim_mean  -0.313  0.599  0.501 -0.080  0.303  0.075         1.429
## x.radius_se          0.806  0.021  0.174  0.065  0.457  0.306         3.105
## x.perimeter_se       0.789  0.023  0.252  0.072  0.442  0.276         3.182
## x.area_se            0.849 -0.009  0.113  0.058  0.365  0.254            NA
## x.smoothness_se     -0.158  0.133  0.173 -0.021  0.587 -0.018            NA
## x.compactness_se     0.162  0.224  0.869  0.072  0.139  0.010            NA
## x.concavity_se       0.158  0.132  0.809  0.045  0.127 -0.002            NA
## x.concave_pts_se     0.368  0.171  0.647 -0.002  0.258 -0.062            NA
## x.symmetry_se       -0.052  0.002  0.344 -0.037  0.476  0.020            NA
## x.fractal_dim_se    -0.052  0.166  0.753 -0.017  0.252  0.059            NA
## x.radius_worst       0.957  0.156  0.032  0.139 -0.184  0.026            NA
## x.texture_worst      0.193  0.166  0.019  0.960 -0.082  0.025            NA
## x.perimeter_worst    0.950  0.185  0.091  0.140 -0.176  0.025            NA
## x.area_worst         0.955  0.139  0.017  0.130 -0.133  0.105            NA
## x.smoothness_worst   0.093  0.890 -0.022  0.072  0.116 -0.017            NA
## x.compactness_worst  0.316  0.626  0.559  0.174 -0.212  0.021         1.255
## x.concavity_worst    0.434  0.532  0.575  0.177 -0.194 -0.018         1.172
## x.concave_pts_worst  0.676  0.545  0.331  0.126 -0.155 -0.071         1.540
## x.symmetry_worst     0.107  0.587  0.193  0.100 -0.149  0.065            NA
## x.fractal_dim_worst -0.067  0.693  0.528  0.100 -0.095  0.105         1.727

problematic cross-Loading (1.0-1.5)

filter_problematic <- subset(hasil_ratio,
                             Ratio_Squared >= 1 & Ratio_Squared < 1.5)

round(filter_problematic, 3)

##                        ML1   ML4   ML3    ML2    ML6    ML5 Ratio_Squared
## x.compactness_mean   0.454 0.614 0.570  0.060  0.095 -0.088         1.161
## x.concavity_mean     0.634 0.433 0.554  0.108  0.082 -0.095         1.309
## x.fractal_dim_mean  -0.313 0.599 0.501 -0.080  0.303  0.075         1.429
## x.compactness_worst  0.316 0.626 0.559  0.174 -0.212  0.021         1.255
## x.concavity_worst    0.434 0.532 0.575  0.177 -0.194 -0.018         1.172

potential Cross-loading (1.5-2.0)

filter_potential <- subset(hasil_ratio,
                           Ratio_Squared >= 1.5 & Ratio_Squared < 2)

round(filter_potential, 3)

##                        ML1   ML4   ML3   ML2    ML6    ML5 Ratio_Squared
## x.concave_pts_worst  0.676 0.545 0.331 0.126 -0.155 -0.071         1.540
## x.fractal_dim_worst -0.067 0.693 0.528 0.100 -0.095  0.105         1.727

Ignorable Cross_Loading (>2.0)

filter_ignorable <- subset(hasil_ratio,
                           Ratio_Squared >= 2)

round(filter_ignorable, 3)

##                      ML1   ML4   ML3   ML2   ML6    ML5 Ratio_Squared
## x.concave_pts_mean 0.794 0.436 0.307 0.074 0.076 -0.146         3.316
## x.radius_se        0.806 0.021 0.174 0.065 0.457  0.306         3.105
## x.perimeter_se     0.789 0.023 0.252 0.072 0.442  0.276         3.182

Communalities

fa_ml$communality

##       x.radius_mean      x.texture_mean    x.perimeter_mean         x.area_mean 
##           0.9970932           0.8798162           0.9973182           0.9844886 
##   x.smoothness_mean  x.compactness_mean    x.concavity_mean  x.concave_pts_mean 
##           0.8790838           0.9298101           0.9235689           0.9466415 
##     x.symmetry_mean  x.fractal_dim_mean         x.radius_se      x.perimeter_se 
##           0.4383535           0.8117822           0.9867561           0.9627484 
##           x.area_se     x.smoothness_se    x.compactness_se      x.concavity_se 
##           0.9340827           0.4180488           0.8568155           0.7147470 
##    x.concave_pts_se       x.symmetry_se    x.fractal_dim_se      x.radius_worst 
##           0.6535147           0.3490344           0.6640884           0.9954577 
##     x.texture_worst   x.perimeter_worst        x.area_worst  x.smoothness_worst 
##           0.9950051           0.9951105           0.9767705           0.8208587 
## x.compactness_worst   x.concavity_worst x.concave_pts_worst    x.symmetry_worst 
##           0.8796218           0.8716107           0.9090812           0.4302566 
## x.fractal_dim_worst 
##           0.7935857

Hapus variabel

data_std_new <- data_std[, 
                         !colnames(data_std) %in% 
                         c("x.compactness_mean", "x.concavity_mean", "x.fractal_dim_mean", "x.compactness_worst", "x.concavity_worst", "x.concave_pts_worst", "x.fractal_dim_worst" )]

fa_ml_new <- fa(data_std_new,
                nfactors = 6,
                rotate   = "varimax",
                fm       = "ml")
print(fa_ml_new$loadings, cutoff = 0.4)

## 
## Loadings:
##                    ML1    ML6    ML5    ML3    ML2    ML4   
## x.radius_mean       0.992                                   
## x.texture_mean                           0.898              
## x.perimeter_mean    0.989                                   
## x.area_mean         0.982                                   
## x.smoothness_mean                 0.781                     
## x.concave_pts_mean  0.805                                   
## x.symmetry_mean                                 0.654       
## x.radius_se         0.660                              0.691
## x.perimeter_se      0.653                              0.661
## x.area_se           0.727                              0.624
## x.smoothness_se            0.429                            
## x.compactness_se           0.859                            
## x.concavity_se             0.817                            
## x.concave_pts_se           0.792                            
## x.symmetry_se              0.416                0.503       
## x.fractal_dim_se           0.821                            
## x.radius_worst      0.964                                   
## x.texture_worst                          0.969              
## x.perimeter_worst   0.958                                   
## x.area_worst        0.940                                   
## x.smoothness_worst                0.944                     
## x.symmetry_worst                                0.934       
## 
##                  ML1   ML6   ML5   ML3   ML2   ML4
## SS loadings    8.114 3.567 1.980 1.912 1.791 1.610
## Proportion Var 0.369 0.162 0.090 0.087 0.081 0.073
## Cumulative Var 0.369 0.531 0.621 0.708 0.789 0.862

Penghapus Cross-Loading menghasilkan overfactoring

load_mat <- as.data.frame(unclass(fa_ml_new$loadings))

cutoff <- 0.4

ratio_sq <- apply(load_mat, 1, function(x){
  
  signif_load <- abs(x[abs(x) >= cutoff])
  
  if(length(signif_load) < 2){
    return(NA)
  }
  
  signif_sq <- signif_load^2
  
  sorted_sq <- sort(signif_sq, decreasing = TRUE)
  
  return(sorted_sq[1] / sorted_sq[2])
})

hasil_ratio_new <- cbind(load_mat, Ratio_Squared = ratio_sq)

hasil_ratio_new[, sapply(hasil_ratio_new, is.numeric)] <-
  round(hasil_ratio_new[, sapply(hasil_ratio_new, is.numeric)], 3)

hasil_ratio_new

##                       ML1    ML6    ML5    ML3    ML2    ML4 Ratio_Squared
## x.radius_mean       0.992  0.054 -0.012  0.095  0.007  0.007            NA
## x.texture_mean      0.232  0.105 -0.052  0.898 -0.013  0.065            NA
## x.perimeter_mean    0.989  0.093  0.014  0.099  0.026  0.013            NA
## x.area_mean         0.982  0.056  0.001  0.089 -0.003  0.098            NA
## x.smoothness_mean   0.169  0.264  0.781 -0.078  0.189  0.089            NA
## x.concave_pts_mean  0.805  0.350  0.312  0.092  0.170  0.064            NA
## x.symmetry_mean     0.128  0.331  0.275 -0.005  0.654  0.110            NA
## x.radius_se         0.660  0.243  0.069  0.061  0.058  0.691         1.098
## x.perimeter_se      0.653  0.300  0.047  0.069  0.074  0.661         1.025
## x.area_se           0.727  0.138  0.054  0.051  0.026  0.624         1.354
## x.smoothness_se    -0.247  0.429  0.372 -0.038 -0.150  0.294            NA
## x.compactness_se    0.157  0.859  0.101  0.093  0.202  0.039            NA
## x.concavity_se      0.149  0.817  0.062  0.058  0.132  0.030            NA
## x.concave_pts_se    0.333  0.792  0.126  0.008  0.048  0.125            NA
## x.symmetry_se      -0.135  0.416 -0.117 -0.074  0.503  0.300         1.466
## x.fractal_dim_se   -0.084  0.821  0.117  0.002  0.078  0.096            NA
## x.radius_worst      0.964  0.000  0.080  0.155  0.077  0.082            NA
## x.texture_worst     0.207 -0.002  0.082  0.969  0.075 -0.015            NA
## x.perimeter_worst   0.958  0.049  0.093  0.158  0.100  0.081            NA
## x.area_worst        0.940 -0.013  0.087  0.148  0.057  0.171            NA
## x.smoothness_worst  0.116  0.069  0.944  0.110  0.222 -0.052            NA
## x.symmetry_worst    0.150  0.040  0.261  0.112  0.934 -0.135            NA

problematic cross-Loading (1.0-1.5)

filter_problematic <- subset(hasil_ratio_new,
                             Ratio_Squared >= 1 & Ratio_Squared < 1.5)

round(filter_problematic, 3)

##                   ML1   ML6    ML5    ML3   ML2   ML4 Ratio_Squared
## x.radius_se     0.660 0.243  0.069  0.061 0.058 0.691         1.098
## x.perimeter_se  0.653 0.300  0.047  0.069 0.074 0.661         1.025
## x.area_se       0.727 0.138  0.054  0.051 0.026 0.624         1.354
## x.symmetry_se  -0.135 0.416 -0.117 -0.074 0.503 0.300         1.466

potential Cross-loading (1.5-2.0)

filter_potential <- subset(hasil_ratio_new,
                           Ratio_Squared >= 1.5 & Ratio_Squared < 2)

round(filter_potential, 3)

## [1] ML1           ML6           ML5           ML3           ML2          
## [6] ML4           Ratio_Squared
## <0 rows> (or 0-length row.names)

Ignorable Cross_Loading (>2.0)

filter_ignorable <- subset(hasil_ratio_new,
                           Ratio_Squared >= 2)

round(filter_ignorable, 3)

## [1] ML1           ML6           ML5           ML3           ML2          
## [6] ML4           Ratio_Squared
## <0 rows> (or 0-length row.names)

Hapus variabel

data_std_new2 <- data_std_new[, 
                         !colnames(data_std_new) %in% 
                         c("x.radius_se", "x.perimeter_se", "x.area_se", "x.symmetry_se" )]

fa_ml_new2 <- fa(data_std_new2,
                nfactors = 6,
                rotate   = "varimax",
                fm       = "ml")
print(fa_ml_new2$loadings, cutoff = 0.4)

## 
## Loadings:
##                    ML1    ML3    ML5    ML2    ML6    ML4   
## x.radius_mean       0.980                                   
## x.texture_mean                           0.899              
## x.perimeter_mean    0.975                                   
## x.area_mean         0.987                                   
## x.smoothness_mean                 0.877                     
## x.concave_pts_mean  0.783         0.427                     
## x.symmetry_mean                   0.541                     
## x.smoothness_se                                 0.519       
## x.compactness_se           0.912                            
## x.concavity_se             0.848                            
## x.concave_pts_se           0.757                            
## x.fractal_dim_se           0.849                            
## x.radius_worst      0.965                                   
## x.texture_worst                          0.967              
## x.perimeter_worst   0.956                                   
## x.area_worst        0.961                                   
## x.smoothness_worst                0.873                     
## x.symmetry_worst                  0.535                     
## 
##                  ML1   ML3   ML5   ML2   ML6   ML4
## SS loadings    6.603 3.298 2.518 1.893 0.479 0.123
## Proportion Var 0.367 0.183 0.140 0.105 0.027 0.007
## Cumulative Var 0.367 0.550 0.690 0.795 0.822 0.829

load_mat <- as.data.frame(unclass(fa_ml_new2$loadings))

cutoff <- 0.4

ratio_sq <- apply(load_mat, 1, function(x){
  
  signif_load <- abs(x[abs(x) >= cutoff])
  
  if(length(signif_load) < 2){
    return(NA)
  }
  
  signif_sq <- signif_load^2
  
  sorted_sq <- sort(signif_sq, decreasing = TRUE)
  
  return(sorted_sq[1] / sorted_sq[2])
})

hasil_ratio_new2 <- cbind(load_mat, Ratio_Squared = ratio_sq)

hasil_ratio_new2[, sapply(hasil_ratio_new2, is.numeric)] <-
  round(hasil_ratio_new2[, sapply(hasil_ratio_new2, is.numeric)], 3)

hasil_ratio_new2

##                       ML1   ML3    ML5    ML2    ML6    ML4 Ratio_Squared
## x.radius_mean       0.980 0.066  0.038  0.102 -0.069  0.121            NA
## x.texture_mean      0.228 0.094 -0.008  0.899  0.016  0.027            NA
## x.perimeter_mean    0.975 0.105  0.072  0.105 -0.066  0.123            NA
## x.area_mean         0.987 0.076  0.021  0.098  0.046  0.052            NA
## x.smoothness_mean   0.141 0.172  0.877 -0.090  0.246  0.106            NA
## x.concave_pts_mean  0.783 0.338  0.427  0.089  0.022  0.096         3.356
## x.symmetry_mean     0.108 0.342  0.541  0.000  0.020  0.028            NA
## x.smoothness_se    -0.221 0.357  0.211 -0.029  0.519 -0.008            NA
## x.compactness_se    0.132 0.912  0.178  0.090 -0.010  0.011            NA
## x.concavity_se      0.134 0.848  0.096  0.059  0.046 -0.006            NA
## x.concave_pts_se    0.314 0.757  0.204 -0.001  0.033  0.086            NA
## x.fractal_dim_se   -0.090 0.849  0.128 -0.002  0.139 -0.061            NA
## x.radius_worst      0.965 0.046  0.137  0.147 -0.122 -0.082            NA
## x.texture_worst     0.196 0.007  0.129  0.967 -0.061 -0.033            NA
## x.perimeter_worst   0.956 0.097  0.163  0.150 -0.136 -0.071            NA
## x.area_worst        0.961 0.046  0.112  0.140 -0.011 -0.193            NA
## x.smoothness_worst  0.090 0.051  0.873  0.102  0.120 -0.062            NA
## x.symmetry_worst    0.117 0.139  0.535  0.126 -0.250 -0.056            NA

fa_ml_new2$communality

##      x.radius_mean     x.texture_mean   x.perimeter_mean        x.area_mean 
##          0.9971544          0.8703039          0.9976373          0.9955914 
##  x.smoothness_mean x.concave_pts_mean    x.symmetry_mean    x.smoothness_se 
##          0.8983574          0.9272785          0.4228524          0.4909093 
##   x.compactness_se     x.concavity_se   x.concave_pts_se   x.fractal_dim_se 
##          0.8884527          0.7512732          0.7213539          0.7686351 
##     x.radius_worst    x.texture_worst  x.perimeter_worst       x.area_worst 
##          0.9959045          0.9950089          0.9951767          0.9957748 
## x.smoothness_worst   x.symmetry_worst 
##          0.8016212          0.4008853