Hands On SARIMA
Lakukan pemodelan deret waktu untuk data yang diberikan menggunakan model ARIMA Musiman. Gunakan tahapan identifikasi model ARIMA Musiman (plot, identifikasi, pendugaan dan seleksi model).
Data
data <- read.csv("C:/Users/User/OneDrive/Dokumen/SEMESTER 6/Topik Statistika I/Walmart.csv")
head(data)## Store Date Weekly_Sales Holiday_Flag Temperature Fuel_Price CPI
## 1 1 05-02-2010 1643691 0 42.31 2.572 211.0964
## 2 1 12-02-2010 1641957 1 38.51 2.548 211.2422
## 3 1 19-02-2010 1611968 0 39.93 2.514 211.2891
## 4 1 26-02-2010 1409728 0 46.63 2.561 211.3196
## 5 1 05-03-2010 1554807 0 46.50 2.625 211.3501
## 6 1 12-03-2010 1439542 0 57.79 2.667 211.3806
## Unemployment
## 1 8.106
## 2 8.106
## 3 8.106
## 4 8.106
## 5 8.106
## 6 8.106## [1] 6435Forming Data Time Series
Pada tahap ini dilakukan perubahan data Weekly_Sales dari data.frame menjadi data ts atau time series menggunakan fungsi ts.
Visualisasi Data Time Series
Data yang digunakan terdiri dari 6435 observasi atau yang diukur dalam 6435 Minggu. Hasil dari visualisasi data tersaji pada plot berikut:
ts.plot(data.ts[,"Weekly_Sales"], type = "l", ylab = "Weekly Sales", col = "blue")
title(main = "Time Series Plot of Weekly Sales",
cex.sub = 0.8)
points(data.ts, pch = 20, col = "blue")
Visualisasi per Musim
library(forecast)
seasonplot(data.ts[,"Weekly_Sales"], 52, main="Weekly Sales", ylab="Weekly Sales", year.labels = TRUE, col=rainbow(18))
Visualisasi Deskriptif
Boxplot menunjukkan ukuran keragaman (panjang box) dan pemusatan
(median) yang berbeda pada masing-masing minggu.
Identifikasi Model
Berdasarkan plot time series di atas bahwa data kemungkinan tidak stasioner terhadap ragam maupun rataan, maka akan dilakukan uji asumsi formal.
Uji Kehomogenan Ragam
Uji asumsi formal terhadap kehomogenan ragam yang digunakan yaitu Fligner-Killen test, dimana: \(H_0\) : Ragam homogen
\(H_1\) : Ragam tidak homogen
## Loading required package: carData##
## Fligner-Killeen test of homogeneity of variances
##
## data: Weekly_Sales by Date
## Fligner-Killeen:med chi-squared = 266.01, df = 142, p-value = 1.4e-09Berdasarkan hasil uji Fligner-Killeen dengan menggunakan taraf signifikansi \(\alpha = 0.05\), nilai \(p−value\) yang diperoleh yaitu \(1.4\times10^{-9}\), maka \(p−value=1.4\times10^{-9}<\alpha=0.05\) sehingga tak tolak \(H_0\) atau dengan kata lain ragam data tidak stasioner. Sehingga perlu dilakukan proses transformasi data.
Transformasi Data
logdata <- log10(data.ts[,"Weekly_Sales"])
ts.plot(logdata, type="l", ylab="Log Weekly Sales", main = "Weekly logged Weekly Sales Data", xlab = "Year", col="blue")
Berdasarkan plot di atas transformasi logaritma tidak berhasil mengatasi
ketidakstasioneran dalam ragam dan ketidakstasioneran dalam rataan masih
nampak.
Deskriptif Data
boxplot(logdata ~ cycle(logdata), col="blue", xlab = "Week", ylab = "log Weekly Sales", main = "Weekly Sales Data - Boxplot")
Boxplot menunjukkan ukuran keragaman (panjang box) hampir sama akan
tetapi ukuran pemusatan (median) yang berbeda pada masing-masing
minggu.
Uji Kehomogenan Ragam
\(H_0\) : Ragam homogen
\(H_1\) : Ragam tidak homogen
##
## Fligner-Killeen test of homogeneity of variances
##
## data: logdata by Date
## Fligner-Killeen:med chi-squared = 24.867, df = 142, p-value = 1Hasil uji Fligner-Killeen menunjukkan bahwa ragam menjadi stasioner setelah dilakukan transformasi log, karena nilai \(p=value\) lebih dari 5% sehinga terima H0 atau ragam homogen.
Berdasarkan hasil Uji Fligner-Killeen di atas transformasi logaritma berhasil mengatasi ketidakstasioneran dalam ragam sehingga data yang digunakan menggunakan data Weekly Sales yang telah ditransformasikan.
Splitting Data
Data yang akan digunakan untuk menentukan model terbaik berdasarkan kandidat model akan dilakukan splitting data terlebih dahulu yaitu dengan membagi data menjadi dua bagian bagian pertama yaitu sebagai data training sebanyak 80% dan bagian kedua sebagai data testing sebesar 20%.
# jumlah data
n <- length(logdata)
# proporsi
train_size <- floor(0.8 * n)
# split
train <- logdata[1:train_size]
test <- logdata[(train_size+1):n]Visual Data Train
ts.plot(train, col="blue", ylab = "Weekly Sales", xlab = "Week")
title(main = "Time Series Train Plot of Weekly Sales", cex.sub = 0.8)
points(train, pch = 20, col = "blue")
## Visual Data Test
ts.plot(test, col="blue", ylab = "Weekly Sales", xlab = "Week")
title(main = "Time Series Testing Plot of Weekly Sales", cex.sub = 0.8)
points(test, pch = 20, col = "blue")
# Identifikasi Kestasioneran Data
acf0$lag <- acf0$lag * 52
acf0.1 <- as.data.frame(cbind(acf0$acf,acf0$lag))
acf0.2 <- acf0.1[which(acf0.1$V2%%52==0),]
barplot(height = acf0.2$V1,
names.arg=acf0.2$V2, ylab="ACF", xlab="Lag")
Plot ACF menunjukkan data Weekly Sales tidak stasioner sehingga perlu
dilakukan proses differencing.
Differencing Data
## Identifikasi Kestasioneran Data Hasil Differencing
acf2 <- acf1$lag <- acf1$lag * 52
acf1.1 <- as.data.frame(cbind(acf1$acf,acf1$lag))
acf1.2 <- acf1.1[which(acf1.1$V2%%52==0),]
barplot(height = acf1.2$V1, names.arg=acf1.2$V2, ylab="ACF", xlab="Lag")
Identifikasi Model
acf2$lag <- acf2$lag * 52
acf2.1 <- as.data.frame(cbind(acf2$acf,acf2$lag))
acf2.2 <- acf2.1[which(acf2.1$V2%%52==0),]
barplot(height = acf2.2$V1, names.arg=acf2.2$V2, ylab="ACF", xlab="Lag")
pacf2$lag <- pacf2$lag * 52
pacf2.1 <- as.data.frame(cbind(pacf2$acf,pacf2$lag))
pacf2.2 <- pacf2.1[which(pacf2.1$V2%%52==0),]
barplot(height = pacf2.2$V1, names.arg=pacf2.2$V2, ylab="PACF", xlab="Lag")
## EACF
## Registered S3 methods overwritten by 'TSA':
## method from
## fitted.Arima forecast
## plot.Arima forecast##
## Attaching package: 'TSA'## The following objects are masked from 'package:stats':
##
## acf, arima## The following object is masked from 'package:utils':
##
## tar## AR/MA
## 0 1 2 3 4 5 6 7 8 9 10 11 12 13
## 0 x x x x x x o x o o o o o x
## 1 x x x x x x o x o o o o o x
## 2 x x x o x o x x o o o o o x
## 3 x x x x x x x o o o o o o x
## 4 x x x x x x x o o o o o o x
## 5 x x x x x x o o o o o o o x
## 6 x o x x x x o o o o o o o x
## 7 x o x x x x o o o o o x o oBerdasarkan plot di atas diperoleh beberapa kandidat model yaitu \(SARIMA(3,1,7)(1,1,0)_{52}\), \(SARIMA(4,1,7)(1,1,0)_{52}\), \(SARIMA(5,1,6)(1,1,0)_{52}\).
## Series: train
## ARIMA(3,1,7)
##
## Coefficients:
## ar1 ar2 ar3 ma1 ma2 ma3 ma4 ma5
## -0.7067 -0.5237 -0.1544 0.4215 0.2849 -0.1192 0.0681 -0.1663
## s.e. 0.1879 0.1586 0.0624 0.1879 0.1406 0.0880 0.0275 0.0351
## ma6 ma7
## -0.1196 -0.1207
## s.e. 0.0421 0.0505
##
## sigma^2 = 0.003241: log likelihood = 7452.07
## AIC=-14882.14 AICc=-14882.08 BIC=-14810.13
##
## Training set error measures:
## ME RMSE MAE MPE MAPE
## Training set -0.0002810198 0.05687318 0.03310638 -0.01149598 0.5529331
## MASE ACF1
## Training set 0.9556843 -0.0002092528## Series: train
## ARIMA(4,1,7)
##
## Coefficients:
## ar1 ar2 ar3 ar4 ma1 ma2 ma3 ma4
## -0.7674 -0.5670 -0.1713 -0.0223 0.4822 0.3104 -0.1174 0.0774
## s.e. 0.3347 0.2177 0.0966 0.0892 0.3343 0.1605 0.0901 0.0428
## ma5 ma6 ma7
## -0.1649 -0.1288 -0.1313
## s.e. 0.0371 0.0668 0.0618
##
## sigma^2 = 0.003242: log likelihood = 7452.14
## AIC=-14880.28 AICc=-14880.22 BIC=-14801.72
##
## Training set error measures:
## ME RMSE MAE MPE MAPE MASE
## Training set -0.0002802022 0.0568724 0.03310165 -0.01147578 0.5528519 0.9555476
## ACF1
## Training set -0.0001327585## Series: train
## ARIMA(5,1,6)
##
## Coefficients:
## ar1 ar2 ar3 ar4 ar5 ma1 ma2 ma3
## 0.2209 -0.1445 -0.0854 0.0867 -0.0951 -0.5066 0.1697 -0.0454
## s.e. 0.2847 0.0541 0.0713 0.0727 0.0561 0.2846 0.1105 0.0683
## ma4 ma5 ma6
## 0.1042 -0.1932 0.0188
## s.e. 0.0583 0.0510 0.0750
##
## sigma^2 = 0.003243: log likelihood = 7451.4
## AIC=-14878.8 AICc=-14878.74 BIC=-14800.25
##
## Training set error measures:
## ME RMSE MAE MPE MAPE
## Training set -0.0002737308 0.05688054 0.03307371 -0.01130882 0.5523603
## MASE ACF1
## Training set 0.9547411 -0.0002301638Model Terbaik
AICKandidatModel <- c(tmodel1$aic, tmodel2$aic, tmodel3$aic)
AICcKandidatModel <- c(tmodel1$aicc, tmodel2$aicc, tmodel3$aicc)
BICKandidatModel <- c(tmodel1$bic, tmodel2$bic, tmodel3$bic)
KandidatModelARIMA <- c("ARIMA(3,1,7)(1,1,0)52", "ARIMA(4,1,7)(1,1,0)52", "ARIMA(5,1,6)(1,1,0)52")
compmodelARIMA <- cbind(KandidatModelARIMA, AICKandidatModel, AICcKandidatModel, BICKandidatModel)
colnames(compmodelARIMA) <- c("Kandidat Model", "Nilai AIC", "Nilai AICc", "Nilai BIC")
compmodelARIMA <- as.data.frame(compmodelARIMA)
compmodelARIMA## Kandidat Model Nilai AIC Nilai AICc Nilai BIC
## 1 ARIMA(3,1,7)(1,1,0)52 -14882.1356728813 -14882.084261002 -14810.1278105851
## 2 ARIMA(4,1,7)(1,1,0)52 -14880.2759733634 -14880.215202035 -14801.7219417675
## 3 ARIMA(5,1,6)(1,1,0)52 -14878.8041569861 -14878.7433856577 -14800.2501253902Model terbaik dipilih berdasarkan nilai AIC dan AICc terkecil dari kandidat model. Oleh karena itu, model terbaik yang diperoleh yaitu \(SARIMA(5,1,6)(1,1,0)_{52}\)
Dibandingan auto.arima
## Series: train
## ARIMA(5,1,2)
##
## Coefficients:
## ar1 ar2 ar3 ar4 ar5 ma1 ma2
## 0.3482 -0.1729 -0.1264 0.1743 -0.2691 -0.6350 0.236
## s.e. 0.0538 0.0556 0.0220 0.0159 0.0148 0.0555 0.060
##
## sigma^2 = 0.003253: log likelihood = 7441.15
## AIC=-14866.31 AICc=-14866.28 BIC=-14813.94Jika berdasarkan fungsi auto.arima model terbaik yang diperoleh yaitu \(ARIMA(5,1,2)(1,1,0)_{52}\).
Model terbaik yang didapatkan adalah: \(ARIMA(5,1,6)(1,1,0)_{52}\) dengan fungsi Arima
\(ARIMA(5,1,2)(1,1,0)_{52}\) dengan fungsi auto.arima
Berdasarkan model terbaik dari fungsi auto.arima yaitu \(ARIMA(5,1,2)(1,1,0)_{52}\) nilai AIC sebesar -14866.31 dan model \(ARIMA(5,1,6)(1,1,0)_{52}\) dengan fungsi Arima nilai AICnya sebesar -14878.8041569861 diperoleh bahwa nilai AIC terkecil yaitu model \(ARIMA(5,1,6)(1,1,0)_{52}\) -14878.8041569861. Oleh karena itu, model yang disarankan untuk dianalisis lebih lanjut yaitu dengan menggunakan model \(ARIMA(5,1,6)(1,1,0)_{52}\) yang mana ini adalah model terbaik (dengan nilai AIC terkecil) dari kandidat model berdasarkan ACF, PACF, dan EACF.
Pengujian Parameter Model
printstatarima <- function (x, digits = 4,se=TRUE){
if (length(x$coef) > 0) {
cat("\nCoefficients:\n")
coef <- round(x$coef, digits = digits)
if (se && nrow(x$var.coef)) {
ses <- rep(0, length(coef))
ses[x$mask] <- round(sqrt(diag(x$var.coef)), digits = digits)
coef <- matrix(coef, 1, dimnames = list(NULL, names(coef)))
coef <- rbind(coef, s.e. = ses)
statt <- coef[1,]/ses
pval <- 2*pt(abs(statt), df=length(x$residuals)-1, lower.tail = FALSE)
coef <- rbind(coef, t=round(statt,digits=digits),sign.=round(pval,digits=digits))
coef <- t(coef)
}
print.default(coef, print.gap = 2)
}
}##
## Coefficients:
## s.e. t sign.
## ar1 0.2209 0.2847 0.7759 0.4378
## ar2 -0.1445 0.0541 -2.6710 0.0076
## ar3 -0.0854 0.0713 -1.1978 0.2311
## ar4 0.0867 0.0727 1.1926 0.2331
## ar5 -0.0951 0.0561 -1.6952 0.0901
## ma1 -0.5066 0.2846 -1.7800 0.0751
## ma2 0.1697 0.1105 1.5357 0.1247
## ma3 -0.0454 0.0683 -0.6647 0.5063
## ma4 0.1042 0.0583 1.7873 0.0739
## ma5 -0.1932 0.0510 -3.7882 0.0002
## ma6 0.0188 0.0750 0.2507 0.8021Penduga parameter \(\hat{\phi_1}=0.2209\), \(\hat{\phi_2}=-0.1445\), \(\hat{\phi_3}=-0.0854\), \(\hat{\phi_4}=0.0867\), \(\hat{\phi_5}=-0.0951\), dan \(\hat{\theta_1}=0.5066\), \(\hat{\theta_2}=-0.1697\), \(\hat{\theta_3}=0.0454\), \(\hat{\theta_4}=-0.1042\), \(\hat{\theta_5}=0.1932\), \(\hat{\theta_6}=-0.0188\) dengan nilai dugaan \(\sigma_e^2\) sebesar 0.003243. Model terbaik yang diperoleh yaitu model \(ARIMA(5,1,6)(1,1,0)_{52}\)
Maka \(X_t\) diperoleh dari penjabaran operator backshift sehingga untuk model \(ARIMA(5,1,6)(1,1,0)_{52}\)
- \(p=5, d=1, q=6\)
- \(P=1, D=1, Q=0\)
\[ \begin{aligned} \phi_p(B)\Phi_P(B^s)(1-B)^d(1-B^s)^DX_t&=\theta_q(B)\Theta_Q(B^s)e_t \\ \phi_5(B)\Phi_1(B^{52})(1-B)^1(1-B^{52})^1X_t&=\theta_6(B)\Theta_0(B^{52})e_t \\ \end{aligned} \]
Diagnostik Model
Berdasarkan plot di atas terlihat bahwa sisaan tidak mengikuti sebaran
normal. Selanjutnya, ditinjau dari plot ACF dan PACF terlihat bahwa ada
lag yang signifikan. Hal tersebut menunjukkan bahwa kemungkinan ada
gejala autokorelasi pada sisaan. Selanjutnya, untuk memastikan kembali
akan dilakukan uji asumsi secara formal:
## lags statistic df p-value
## 5 0.007676207 0 NA
## 10 1.613681846 0 NA
## 15 13.566106185 3 3.559394e-03
## 20 30.093504300 8 2.034825e-04
## 25 32.497045853 13 2.026397e-03
## 30 49.744433165 18 8.249884e-05Berdasarkan hasil uji LjungBox di atas tidak terdapat autokorelasi pada sisaan, karena nilai \(p-value<0.05\).
Selanjutnya dilakukan uji asumsi formal terhadap kenormalan sisan dengan menggunakan uji Jarque Bera.
## Registered S3 method overwritten by 'quantmod':
## method from
## as.zoo.data.frame zoo##
## Jarque Bera Test
##
## data: residuals(tmodel3)
## X-squared = 264735, df = 2, p-value < 2.2e-16Berdasarkan hasil uji kenormalan dengan uji Jarque Bera sisaan tidak menyebar normal, karena nilai \(p-value=2.2\times10^{-16} < 0.05\).
Forecasting
Validasi Model
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## 5149 5.446629 5.373648 5.519609 5.335015 5.558243
## 5150 5.457809 5.368120 5.547499 5.320641 5.594977
## 5151 5.449208 5.346830 5.551587 5.292634 5.605783
## 5152 5.445093 5.334349 5.555837 5.275724 5.614462
## 5153 5.450801 5.326358 5.575244 5.260482 5.641120
## 5154 5.452964 5.322733 5.583195 5.253792 5.652135
## 5155 5.451159 5.316054 5.586264 5.244534 5.657784
## 5156 5.450422 5.310478 5.590365 5.236397 5.664447
## 5157 5.451221 5.305548 5.596894 5.228433 5.674009
## 5158 5.451303 5.300631 5.601975 5.220870 5.681736
## 5159 5.450906 5.295275 5.606537 5.212889 5.688924
## 5160 5.450846 5.290330 5.611363 5.205358 5.696335
## 5161 5.451023 5.285654 5.616392 5.198113 5.703933
## 5162 5.451036 5.281077 5.620995 5.191106 5.710965
## 5163 5.450976 5.276544 5.625408 5.184205 5.717746
## 5164 5.450978 5.272180 5.629776 5.177530 5.724426
## 5165 5.451007 5.267935 5.634079 5.171023 5.730992
## 5166 5.451003 5.263771 5.638234 5.164657 5.737349
## 5167 5.450991 5.259686 5.642296 5.158415 5.743567
## 5168 5.450992 5.255696 5.646289 5.152312 5.749673
## 5169 5.450997 5.251787 5.650207 5.146331 5.755663
## 5170 5.450996 5.247950 5.654041 5.140465 5.761527
## 5171 5.450994 5.244184 5.657804 5.134705 5.767283
## 5172 5.450995 5.240487 5.661503 5.129051 5.772939
## 5173 5.450996 5.236854 5.665138 5.123494 5.778497
## 5174 5.450995 5.233280 5.668710 5.118029 5.783961
## 5175 5.450995 5.229765 5.672225 5.112653 5.789337
## 5176 5.450995 5.226305 5.675686 5.107361 5.794630
## 5177 5.450995 5.222897 5.679094 5.102149 5.799842
## 5178 5.450995 5.219539 5.682451 5.097014 5.804977
## 5179 5.450995 5.216229 5.685761 5.091952 5.810038
## 5180 5.450995 5.212966 5.689025 5.086960 5.815030
## 5181 5.450995 5.209746 5.692244 5.082037 5.819954
## 5182 5.450995 5.206569 5.695421 5.077178 5.824813
## 5183 5.450995 5.203433 5.698558 5.072381 5.829609
## 5184 5.450995 5.200336 5.701655 5.067644 5.834346
## 5185 5.450995 5.197276 5.704714 5.062966 5.839025
## 5186 5.450995 5.194253 5.707737 5.058342 5.843648
## 5187 5.450995 5.191266 5.710725 5.053773 5.848217
## 5188 5.450995 5.188312 5.713678 5.049256 5.852734
## 5189 5.450995 5.185391 5.716599 5.044789 5.857201
## 5190 5.450995 5.182502 5.719488 5.040370 5.861620
## 5191 5.450995 5.179644 5.722347 5.035999 5.865991
## 5192 5.450995 5.176815 5.725175 5.031673 5.870317
## 5193 5.450995 5.174016 5.727975 5.027391 5.874599
## 5194 5.450995 5.171244 5.730746 5.023153 5.878838
## 5195 5.450995 5.168499 5.733491 5.018955 5.883035
## 5196 5.450995 5.165781 5.736209 5.014798 5.887192
## 5197 5.450995 5.163089 5.738901 5.010681 5.891310
## 5198 5.450995 5.160422 5.741569 5.006601 5.895389
## 5199 5.450995 5.157778 5.744212 5.002559 5.899431
## 5200 5.450995 5.155159 5.746831 4.998553 5.903438
## 5201 5.450995 5.152562 5.749428 4.994582 5.907409
## 5202 5.450995 5.149988 5.752002 4.990645 5.911346
## 5203 5.450995 5.147436 5.754554 4.986741 5.915249
## 5204 5.450995 5.144905 5.757085 4.982870 5.919120
## 5205 5.450995 5.142395 5.759596 4.979031 5.922959
## 5206 5.450995 5.139905 5.762086 4.975223 5.926767
## 5207 5.450995 5.137434 5.764556 4.971445 5.930545
## 5208 5.450995 5.134983 5.767007 4.967697 5.934294
## 5209 5.450995 5.132551 5.769439 4.963977 5.938013
## 5210 5.450995 5.130138 5.771853 4.960286 5.941705
## 5211 5.450995 5.127742 5.774248 4.956622 5.945368
## 5212 5.450995 5.125364 5.776626 4.952985 5.949005
## 5213 5.450995 5.123003 5.778987 4.949375 5.952616
## 5214 5.450995 5.120659 5.781331 4.945790 5.956200
## 5215 5.450995 5.118332 5.783658 4.942231 5.959760
## 5216 5.450995 5.116021 5.785970 4.938696 5.963294
## 5217 5.450995 5.113725 5.788265 4.935185 5.966805
## 5218 5.450995 5.111445 5.790545 4.931699 5.970292
## 5219 5.450995 5.109181 5.792810 4.928235 5.973755
## 5220 5.450995 5.106931 5.795059 4.924794 5.977196
## 5221 5.450995 5.104696 5.797294 4.921376 5.980614
## 5222 5.450995 5.102475 5.799515 4.917980 5.984011
## 5223 5.450995 5.100268 5.801722 4.914605 5.987385
## 5224 5.450995 5.098075 5.803915 4.911251 5.990739
## 5225 5.450995 5.095896 5.806094 4.907918 5.994072
## 5226 5.450995 5.093730 5.808260 4.904605 5.997385
## 5227 5.450995 5.091577 5.810413 4.901312 6.000678
## 5228 5.450995 5.089437 5.812554 4.898039 6.003951
## 5229 5.450995 5.087309 5.814681 4.894785 6.007205
## 5230 5.450995 5.085194 5.816797 4.891550 6.010440
## 5231 5.450995 5.083091 5.818900 4.888334 6.013656
## 5232 5.450995 5.081000 5.820991 4.885136 6.016855
## 5233 5.450995 5.078920 5.823070 4.881956 6.020035
## 5234 5.450995 5.076852 5.825138 4.878793 6.023197
## 5235 5.450995 5.074796 5.827194 4.875648 6.026342
## 5236 5.450995 5.072751 5.829240 4.872520 6.029470
## 5237 5.450995 5.070716 5.831274 4.869409 6.032581
## 5238 5.450995 5.068693 5.833297 4.866314 6.035676
## 5239 5.450995 5.066680 5.835310 4.863236 6.038754
## 5240 5.450995 5.064678 5.837313 4.860174 6.041817
## 5241 5.450995 5.062686 5.839305 4.857127 6.044863
## 5242 5.450995 5.060704 5.841286 4.854096 6.047894
## 5243 5.450995 5.058732 5.843258 4.851081 6.050910
## 5244 5.450995 5.056770 5.845220 4.848080 6.053910
## 5245 5.450995 5.054818 5.847172 4.845094 6.056896
## 5246 5.450995 5.052875 5.849115 4.842123 6.059867
## 5247 5.450995 5.050942 5.851048 4.839167 6.062824
## 5248 5.450995 5.049018 5.852972 4.836224 6.065766
## 5249 5.450995 5.047103 5.854887 4.833296 6.068694
## 5250 5.450995 5.045198 5.856793 4.830381 6.071609
## 5251 5.450995 5.043301 5.858690 4.827480 6.074510
## 5252 5.450995 5.041413 5.860578 4.824593 6.077397
## 5253 5.450995 5.039533 5.862457 4.821719 6.080272
## 5254 5.450995 5.037663 5.864328 4.818857 6.083133
## 5255 5.450995 5.035800 5.866190 4.816009 6.085981
## 5256 5.450995 5.033946 5.868044 4.813174 6.088817
## 5257 5.450995 5.032100 5.869890 4.810351 6.091640
## 5258 5.450995 5.030262 5.871728 4.807540 6.094450
## 5259 5.450995 5.028433 5.873558 4.804741 6.097249
## 5260 5.450995 5.026611 5.875380 4.801955 6.100035
## 5261 5.450995 5.024797 5.877194 4.799181 6.102810
## 5262 5.450995 5.022990 5.879000 4.796418 6.105572
## 5263 5.450995 5.021191 5.880799 4.793667 6.108323
## 5264 5.450995 5.019400 5.882590 4.790927 6.111063
## 5265 5.450995 5.017616 5.884374 4.788199 6.113791
## 5266 5.450995 5.015839 5.886151 4.785482 6.116508
## 5267 5.450995 5.014070 5.887920 4.782776 6.119214
## 5268 5.450995 5.012308 5.889683 4.780081 6.121910
## 5269 5.450995 5.010553 5.891438 4.777396 6.124594
## 5270 5.450995 5.008804 5.893186 4.774723 6.127268
## 5271 5.450995 5.007063 5.894927 4.772060 6.129931
## 5272 5.450995 5.005328 5.896662 4.769407 6.132584
## 5273 5.450995 5.003601 5.898390 4.766764 6.135226
## 5274 5.450995 5.001879 5.900111 4.764132 6.137858
## 5275 5.450995 5.000165 5.901825 4.761510 6.140481
## 5276 5.450995 4.998457 5.903534 4.758897 6.143093
## 5277 5.450995 4.996755 5.905235 4.756295 6.145695
## 5278 5.450995 4.995060 5.906931 4.753702 6.148288
## 5279 5.450995 4.993371 5.908620 4.751119 6.150871
## 5280 5.450995 4.991688 5.910302 4.748545 6.153445
## 5281 5.450995 4.990011 5.911979 4.745981 6.156009
## 5282 5.450995 4.988341 5.913650 4.743426 6.158564
## 5283 5.450995 4.986676 5.915314 4.740880 6.161110
## 5284 5.450995 4.985017 5.916973 4.738343 6.163647
## 5285 5.450995 4.983364 5.918626 4.735816 6.166175
## 5286 5.450995 4.981717 5.920273 4.733297 6.168693
## 5287 5.450995 4.980076 5.921914 4.730787 6.171203
## 5288 5.450995 4.978441 5.923550 4.728286 6.173705
## 5289 5.450995 4.976811 5.925179 4.725793 6.176197
## 5290 5.450995 4.975187 5.926804 4.723309 6.178681
## 5291 5.450995 4.973568 5.928422 4.720833 6.181157
## 5292 5.450995 4.971955 5.930036 4.718366 6.183624
## 5293 5.450995 4.970347 5.931644 4.715907 6.186083
## 5294 5.450995 4.968744 5.933246 4.713456 6.188534
## 5295 5.450995 4.967147 5.934843 4.711013 6.190977
## 5296 5.450995 4.965555 5.936435 4.708579 6.193412
## 5297 5.450995 4.963968 5.938022 4.706152 6.195838
## 5298 5.450995 4.962387 5.939604 4.703733 6.198257
## 5299 5.450995 4.960810 5.941180 4.701322 6.200668
## 5300 5.450995 4.959239 5.942751 4.698919 6.203072
## 5301 5.450995 4.957672 5.944318 4.696523 6.205467
## 5302 5.450995 4.956111 5.945879 4.694135 6.207855
## 5303 5.450995 4.954554 5.947436 4.691755 6.210236
## 5304 5.450995 4.953003 5.948988 4.689381 6.212609
## 5305 5.450995 4.951456 5.950534 4.687016 6.214975
## 5306 5.450995 4.949914 5.952077 4.684657 6.217333
## 5307 5.450995 4.948376 5.953614 4.682306 6.219684
## 5308 5.450995 4.946844 5.955147 4.679962 6.222028
## 5309 5.450995 4.945316 5.956675 4.677625 6.224365
## 5310 5.450995 4.943792 5.958198 4.675295 6.226695
## 5311 5.450995 4.942273 5.959717 4.672972 6.229018
## 5312 5.450995 4.940759 5.961231 4.670656 6.231334
## 5313 5.450995 4.939249 5.962741 4.668347 6.233643
## 5314 5.450995 4.937744 5.964247 4.666045 6.235945
## 5315 5.450995 4.936243 5.965748 4.663749 6.238241
## 5316 5.450995 4.934746 5.967244 4.661460 6.240530
## 5317 5.450995 4.933254 5.968737 4.659178 6.242812
## 5318 5.450995 4.931766 5.970225 4.656902 6.245088
## 5319 5.450995 4.930282 5.971708 4.654633 6.247357
## 5320 5.450995 4.928802 5.973188 4.652370 6.249620
## 5321 5.450995 4.927327 5.974663 4.650114 6.251876
## 5322 5.450995 4.925856 5.976135 4.647864 6.254127
## 5323 5.450995 4.924389 5.977602 4.645620 6.256370
## 5324 5.450995 4.922926 5.979065 4.643382 6.258608
## 5325 5.450995 4.921467 5.980524 4.641151 6.260839
## 5326 5.450995 4.920012 5.981979 4.638926 6.263065
## 5327 5.450995 4.918561 5.983430 4.636707 6.265284
## 5328 5.450995 4.917113 5.984877 4.634494 6.267497
## 5329 5.450995 4.915670 5.986320 4.632286 6.269704
## 5330 5.450995 4.914231 5.987759 4.630085 6.271905
## 5331 5.450995 4.912796 5.989195 4.627890 6.274100
## 5332 5.450995 4.911364 5.990626 4.625700 6.276290
## 5333 5.450995 4.909936 5.992054 4.623517 6.278474
## 5334 5.450995 4.908512 5.993478 4.621339 6.280652
## 5335 5.450995 4.907092 5.994899 4.619166 6.282824
## 5336 5.450995 4.905675 5.996315 4.617000 6.284990
## 5337 5.450995 4.904262 5.997728 4.614839 6.287151
## 5338 5.450995 4.902853 5.999138 4.612684 6.289307
## 5339 5.450995 4.901447 6.000543 4.610534 6.291457
## 5340 5.450995 4.900045 6.001946 4.608389 6.293601
## 5341 5.450995 4.898646 6.003344 4.606250 6.295740
## 5342 5.450995 4.897251 6.004739 4.604117 6.297874
## 5343 5.450995 4.895860 6.006131 4.601989 6.300002
## 5344 5.450995 4.894472 6.007519 4.599866 6.302125
## 5345 5.450995 4.893087 6.008903 4.597748 6.304242
## 5346 5.450995 4.891706 6.010285 4.595636 6.306354
## 5347 5.450995 4.890328 6.011662 4.593529 6.308462
## 5348 5.450995 4.888954 6.013037 4.591427 6.310564
## 5349 5.450995 4.887583 6.014408 4.589330 6.312660
## 5350 5.450995 4.886215 6.015776 4.587238 6.314752
## 5351 5.450995 4.884850 6.017140 4.585151 6.316839
## 5352 5.450995 4.883489 6.018501 4.583070 6.318921
## 5353 5.450995 4.882131 6.019859 4.580993 6.320997
## 5354 5.450995 4.880777 6.021214 4.578921 6.323069
## 5355 5.450995 4.879425 6.022565 4.576854 6.325136
## 5356 5.450995 4.878077 6.023913 4.574793 6.327198
## 5357 5.450995 4.876732 6.025258 4.572735 6.329255
## 5358 5.450995 4.875390 6.026600 4.570683 6.331307
## 5359 5.450995 4.874051 6.027939 4.568636 6.333355
## 5360 5.450995 4.872715 6.029275 4.566593 6.335398
## 5361 5.450995 4.871383 6.030607 4.564555 6.337436
## 5362 5.450995 4.870053 6.031937 4.562521 6.339469
## 5363 5.450995 4.868727 6.033264 4.560492 6.341498
## 5364 5.450995 4.867403 6.034587 4.558468 6.343522
## 5365 5.450995 4.866083 6.035908 4.556449 6.345542
## 5366 5.450995 4.864765 6.037225 4.554434 6.347557
## 5367 5.450995 4.863450 6.038540 4.552423 6.349567
## 5368 5.450995 4.862139 6.039851 4.550417 6.351573
## 5369 5.450995 4.860830 6.041160 4.548416 6.353575
## 5370 5.450995 4.859524 6.042466 4.546418 6.355572
## 5371 5.450995 4.858221 6.043769 4.544426 6.357565
## 5372 5.450995 4.856921 6.045069 4.542437 6.359553
## 5373 5.450995 4.855624 6.046366 4.540453 6.361537
## 5374 5.450995 4.854329 6.047661 4.538474 6.363517
## 5375 5.450995 4.853038 6.048953 4.536498 6.365492
## 5376 5.450995 4.851749 6.050242 4.534527 6.367463
## 5377 5.450995 4.850463 6.051528 4.532560 6.369430
## 5378 5.450995 4.849179 6.052811 4.530597 6.371393
## 5379 5.450995 4.847899 6.054092 4.528639 6.373352
## 5380 5.450995 4.846621 6.055370 4.526684 6.375306
## 5381 5.450995 4.845346 6.056645 4.524734 6.377256
## 5382 5.450995 4.844073 6.057917 4.522788 6.379202
## 5383 5.450995 4.842803 6.059187 4.520846 6.381145
## 5384 5.450995 4.841536 6.060454 4.518908 6.383083
## 5385 5.450995 4.840271 6.061719 4.516974 6.385017
## 5386 5.450995 4.839009 6.062981 4.515044 6.386947
## 5387 5.450995 4.837750 6.064240 4.513117 6.388873
## 5388 5.450995 4.836493 6.065497 4.511195 6.390795
## 5389 5.450995 4.835239 6.066751 4.509277 6.392713
## 5390 5.450995 4.833987 6.068003 4.507363 6.394628
## 5391 5.450995 4.832738 6.069252 4.505452 6.396538
## 5392 5.450995 4.831491 6.070499 4.503546 6.398445
## 5393 5.450995 4.830247 6.071743 4.501643 6.400347
## 5394 5.450995 4.829006 6.072985 4.499744 6.402246
## 5395 5.450995 4.827766 6.074224 4.497849 6.404141
## 5396 5.450995 4.826530 6.075461 4.495958 6.406033
## 5397 5.450995 4.825295 6.076695 4.494070 6.407920
## 5398 5.450995 4.824063 6.077927 4.492186 6.409804
## 5399 5.450995 4.822834 6.079156 4.490306 6.411685
## 5400 5.450995 4.821607 6.080383 4.488429 6.413561
## 5401 5.450995 4.820382 6.081608 4.486556 6.415434
## 5402 5.450995 4.819160 6.082830 4.484687 6.417303
## 5403 5.450995 4.817940 6.084050 4.482821 6.419169
## 5404 5.450995 4.816723 6.085268 4.480959 6.421031
## 5405 5.450995 4.815507 6.086483 4.479100 6.422890
## 5406 5.450995 4.814294 6.087696 4.477246 6.424745
## 5407 5.450995 4.813084 6.088906 4.475394 6.426596
## 5408 5.450995 4.811876 6.090115 4.473546 6.428444
## 5409 5.450995 4.810670 6.091321 4.471702 6.430289
## 5410 5.450995 4.809466 6.092525 4.469861 6.432130
## 5411 5.450995 4.808264 6.093726 4.468023 6.433967
## 5412 5.450995 4.807065 6.094925 4.466189 6.435801
## 5413 5.450995 4.805868 6.096122 4.464358 6.437632
## 5414 5.450995 4.804673 6.097317 4.462531 6.439459
## 5415 5.450995 4.803481 6.098510 4.460707 6.441283
## 5416 5.450995 4.802290 6.099700 4.458886 6.443104
## 5417 5.450995 4.801102 6.100888 4.457069 6.444921
## 5418 5.450995 4.799916 6.102075 4.455255 6.446735
## 5419 5.450995 4.798732 6.103258 4.453445 6.448546
## 5420 5.450995 4.797550 6.104440 4.451637 6.450353
## 5421 5.450995 4.796370 6.105620 4.449833 6.452157
## 5422 5.450995 4.795193 6.106797 4.448032 6.453958
## 5423 5.450995 4.794018 6.107973 4.446235 6.455756
## 5424 5.450995 4.792844 6.109146 4.444440 6.457550
## 5425 5.450995 4.791673 6.110317 4.442649 6.459341
## 5426 5.450995 4.790504 6.111486 4.440861 6.461129
## 5427 5.450995 4.789337 6.112654 4.439076 6.462914
## 5428 5.450995 4.788172 6.113819 4.437294 6.464696
## 5429 5.450995 4.787009 6.114982 4.435516 6.466475
## 5430 5.450995 4.785848 6.116142 4.433740 6.468250
## 5431 5.450995 4.784689 6.117301 4.431968 6.470023
## 5432 5.450995 4.783532 6.118458 4.430198 6.471792
## 5433 5.450995 4.782377 6.119613 4.428432 6.473558
## 5434 5.450995 4.781224 6.120766 4.426669 6.475322
## 5435 5.450995 4.780073 6.121917 4.424909 6.477082
## 5436 5.450995 4.778924 6.123066 4.423151 6.478839
## 5437 5.450995 4.777777 6.124213 4.421397 6.480593
## 5438 5.450995 4.776632 6.125358 4.419646 6.482344
## 5439 5.450995 4.775489 6.126501 4.417898 6.484093
## 5440 5.450995 4.774348 6.127642 4.416152 6.485838
## 5441 5.450995 4.773209 6.128782 4.414410 6.487580
## 5442 5.450995 4.772071 6.129919 4.412671 6.489320
## 5443 5.450995 4.770936 6.131054 4.410934 6.491056
## 5444 5.450995 4.769802 6.132188 4.409201 6.492790
## 5445 5.450995 4.768671 6.133320 4.407470 6.494520
## 5446 5.450995 4.767541 6.134449 4.405742 6.496248
## 5447 5.450995 4.766413 6.135577 4.404017 6.497973
## 5448 5.450995 4.765287 6.136703 4.402295 6.499696
## 5449 5.450995 4.764163 6.137828 4.400575 6.501415
## 5450 5.450995 4.763040 6.138950 4.398859 6.503131
## 5451 5.450995 4.761920 6.140071 4.397145 6.504845
## 5452 5.450995 4.760801 6.141189 4.395434 6.506556
## 5453 5.450995 4.759684 6.142306 4.393726 6.508264
## 5454 5.450995 4.758569 6.143421 4.392020 6.509970
## 5455 5.450995 4.757455 6.144535 4.390318 6.511673
## 5456 5.450995 4.756344 6.145646 4.388618 6.513373
## 5457 5.450995 4.755234 6.146756 4.386921 6.515070
## 5458 5.450995 4.754126 6.147864 4.385226 6.516764
## 5459 5.450995 4.753020 6.148970 4.383534 6.518456
## 5460 5.450995 4.751915 6.150075 4.381845 6.520145
## 5461 5.450995 4.750813 6.151178 4.380158 6.521832
## 5462 5.450995 4.749712 6.152279 4.378474 6.523516
## 5463 5.450995 4.748612 6.153378 4.376793 6.525197
## 5464 5.450995 4.747515 6.154476 4.375115 6.526876
## 5465 5.450995 4.746419 6.155571 4.373439 6.528552
## 5466 5.450995 4.745325 6.156666 4.371765 6.530225
## 5467 5.450995 4.744232 6.157758 4.370094 6.531896
## 5468 5.450995 4.743141 6.158849 4.368426 6.533564
## 5469 5.450995 4.742052 6.159938 4.366761 6.535230
## 5470 5.450995 4.740965 6.161025 4.365097 6.536893
## 5471 5.450995 4.739879 6.162111 4.363437 6.538553
## 5472 5.450995 4.738795 6.163195 4.361779 6.540211
## 5473 5.450995 4.737712 6.164278 4.360123 6.541867
## 5474 5.450995 4.736632 6.165359 4.358470 6.543520
## 5475 5.450995 4.735552 6.166438 4.356820 6.545170
## 5476 5.450995 4.734475 6.167515 4.355172 6.546818
## 5477 5.450995 4.733399 6.168591 4.353526 6.548464
## 5478 5.450995 4.732325 6.169666 4.351883 6.550107
## 5479 5.450995 4.731252 6.170739 4.350243 6.551748
## 5480 5.450995 4.730181 6.171810 4.348604 6.553386
## 5481 5.450995 4.729111 6.172879 4.346969 6.555022
## 5482 5.450995 4.728043 6.173947 4.345335 6.556655
## 5483 5.450995 4.726977 6.175014 4.343704 6.558286
## 5484 5.450995 4.725912 6.176078 4.342076 6.559914
## 5485 5.450995 4.724849 6.177142 4.340450 6.561540
## 5486 5.450995 4.723787 6.178203 4.338826 6.563164
## 5487 5.450995 4.722727 6.179264 4.337205 6.564786
## 5488 5.450995 4.721668 6.180322 4.335586 6.566405
## 5489 5.450995 4.720611 6.181379 4.333969 6.568021
## 5490 5.450995 4.719555 6.182435 4.332355 6.569636
## 5491 5.450995 4.718501 6.183489 4.330743 6.571248
## 5492 5.450995 4.717449 6.184541 4.329133 6.572857
## 5493 5.450995 4.716398 6.185592 4.327525 6.574465
## 5494 5.450995 4.715348 6.186642 4.325920 6.576070
## 5495 5.450995 4.714300 6.187690 4.324318 6.577673
## 5496 5.450995 4.713254 6.188737 4.322717 6.579273
## 5497 5.450995 4.712209 6.189782 4.321119 6.580872
## 5498 5.450995 4.711165 6.190825 4.319523 6.582468
## 5499 5.450995 4.710123 6.191867 4.317929 6.584061
## 5500 5.450995 4.709082 6.192908 4.316337 6.585653
## 5501 5.450995 4.708043 6.193947 4.314748 6.587242
## 5502 5.450995 4.707005 6.194985 4.313161 6.588829
## 5503 5.450995 4.705969 6.196021 4.311576 6.590414
## 5504 5.450995 4.704934 6.197056 4.309994 6.591997
## 5505 5.450995 4.703901 6.198089 4.308413 6.593577
## 5506 5.450995 4.702869 6.199121 4.306835 6.595156
## 5507 5.450995 4.701838 6.200152 4.305259 6.596732
## 5508 5.450995 4.700809 6.201181 4.303685 6.598306
## 5509 5.450995 4.699781 6.202209 4.302113 6.599877
## 5510 5.450995 4.698755 6.203235 4.300543 6.601447
## 5511 5.450995 4.697730 6.204260 4.298976 6.603015
## 5512 5.450995 4.696707 6.205284 4.297410 6.604580
## 5513 5.450995 4.695684 6.206306 4.295847 6.606143
## 5514 5.450995 4.694664 6.207327 4.294286 6.607704
## 5515 5.450995 4.693644 6.208346 4.292727 6.609263
## 5516 5.450995 4.692626 6.209364 4.291170 6.610820
## 5517 5.450995 4.691610 6.210381 4.289615 6.612375
## 5518 5.450995 4.690594 6.211396 4.288062 6.613928
## 5519 5.450995 4.689580 6.212410 4.286512 6.615479
## 5520 5.450995 4.688568 6.213423 4.284963 6.617027
## 5521 5.450995 4.687556 6.214434 4.283416 6.618574
## 5522 5.450995 4.686546 6.215444 4.281872 6.620118
## 5523 5.450995 4.685538 6.216452 4.280329 6.621661
## 5524 5.450995 4.684531 6.217460 4.278789 6.623201
## 5525 5.450995 4.683525 6.218466 4.277250 6.624740
## 5526 5.450995 4.682520 6.219470 4.275714 6.626276
## 5527 5.450995 4.681517 6.220474 4.274179 6.627811
## 5528 5.450995 4.680515 6.221476 4.272647 6.629343
## 5529 5.450995 4.679514 6.222476 4.271117 6.630874
## 5530 5.450995 4.678515 6.223476 4.269588 6.632402
## 5531 5.450995 4.677517 6.224474 4.268062 6.633929
## 5532 5.450995 4.676520 6.225471 4.266537 6.635453
## 5533 5.450995 4.675524 6.226466 4.265015 6.636976
## 5534 5.450995 4.674530 6.227460 4.263494 6.638496
## 5535 5.450995 4.673537 6.228453 4.261975 6.640015
## 5536 5.450995 4.672545 6.229445 4.260459 6.641532
## 5537 5.450995 4.671555 6.230436 4.258944 6.643047
## 5538 5.450995 4.670565 6.231425 4.257431 6.644559
## 5539 5.450995 4.669577 6.232413 4.255920 6.646070
## 5540 5.450995 4.668591 6.233400 4.254411 6.647579
## 5541 5.450995 4.667605 6.234385 4.252904 6.649087
## 5542 5.450995 4.666621 6.235369 4.251398 6.650592
## 5543 5.450995 4.665638 6.236352 4.249895 6.652095
## 5544 5.450995 4.664656 6.237334 4.248394 6.653597
## 5545 5.450995 4.663676 6.238315 4.246894 6.655096
## 5546 5.450995 4.662696 6.239294 4.245396 6.656594
## 5547 5.450995 4.661718 6.240272 4.243900 6.658090
## 5548 5.450995 4.660741 6.241249 4.242406 6.659584
## 5549 5.450995 4.659766 6.242225 4.240914 6.661076
## 5550 5.450995 4.658791 6.243199 4.239424 6.662567
## 5551 5.450995 4.657818 6.244172 4.237935 6.664055
## 5552 5.450995 4.656846 6.245145 4.236448 6.665542
## 5553 5.450995 4.655875 6.246115 4.234964 6.667027
## 5554 5.450995 4.654905 6.247085 4.233480 6.668510
## 5555 5.450995 4.653937 6.248054 4.231999 6.669991
## 5556 5.450995 4.652969 6.249021 4.230520 6.671471
## 5557 5.450995 4.652003 6.249987 4.229042 6.672948
## 5558 5.450995 4.651038 6.250952 4.227566 6.674424
## 5559 5.450995 4.650074 6.251916 4.226092 6.675898
## 5560 5.450995 4.649111 6.252879 4.224620 6.677371
## 5561 5.450995 4.648150 6.253841 4.223149 6.678841
## 5562 5.450995 4.647189 6.254801 4.221680 6.680310
## 5563 5.450995 4.646230 6.255760 4.220213 6.681777
## 5564 5.450995 4.645272 6.256718 4.218748 6.683243
## 5565 5.450995 4.644315 6.257675 4.217284 6.684706
## 5566 5.450995 4.643359 6.258631 4.215822 6.686168
## 5567 5.450995 4.642404 6.259586 4.214362 6.687628
## 5568 5.450995 4.641451 6.260540 4.212904 6.689086
## 5569 5.450995 4.640498 6.261492 4.211447 6.690543
## 5570 5.450995 4.639547 6.262443 4.209992 6.691998
## 5571 5.450995 4.638597 6.263394 4.208539 6.693451
## 5572 5.450995 4.637648 6.264343 4.207087 6.694903
## 5573 5.450995 4.636700 6.265291 4.205637 6.696353
## 5574 5.450995 4.635753 6.266238 4.204189 6.697801
## 5575 5.450995 4.634807 6.267184 4.202743 6.699248
## 5576 5.450995 4.633862 6.268128 4.201298 6.700692
## 5577 5.450995 4.632918 6.269072 4.199855 6.702136
## 5578 5.450995 4.631976 6.270014 4.198413 6.703577
## 5579 5.450995 4.631034 6.270956 4.196973 6.705017
## 5580 5.450995 4.630094 6.271896 4.195535 6.706455
## 5581 5.450995 4.629155 6.272836 4.194099 6.707892
## 5582 5.450995 4.628216 6.273774 4.192664 6.709327
## 5583 5.450995 4.627279 6.274711 4.191230 6.710760
## 5584 5.450995 4.626343 6.275647 4.189799 6.712192
## 5585 5.450995 4.625408 6.276582 4.188369 6.713622
## 5586 5.450995 4.624474 6.277516 4.186940 6.715050
## 5587 5.450995 4.623541 6.278449 4.185513 6.716477
## 5588 5.450995 4.622609 6.279381 4.184088 6.717902
## 5589 5.450995 4.621678 6.280312 4.182665 6.719326
## 5590 5.450995 4.620749 6.281242 4.181243 6.720748
## 5591 5.450995 4.619820 6.282170 4.179822 6.722168
## 5592 5.450995 4.618892 6.283098 4.178403 6.723587
## 5593 5.450995 4.617965 6.284025 4.176986 6.725004
## 5594 5.450995 4.617040 6.284950 4.175571 6.726420
## 5595 5.450995 4.616115 6.285875 4.174156 6.727834
## 5596 5.450995 4.615192 6.286799 4.172744 6.729246
## 5597 5.450995 4.614269 6.287721 4.171333 6.730657
## 5598 5.450995 4.613347 6.288643 4.169924 6.732067
## 5599 5.450995 4.612427 6.289563 4.168516 6.733475
## 5600 5.450995 4.611507 6.290483 4.167109 6.734881
## 5601 5.450995 4.610589 6.291402 4.165705 6.736286
## 5602 5.450995 4.609671 6.292319 4.164301 6.737689
## 5603 5.450995 4.608755 6.293236 4.162900 6.739091
## 5604 5.450995 4.607839 6.294151 4.161499 6.740491
## 5605 5.450995 4.606925 6.295066 4.160101 6.741890
## 5606 5.450995 4.606011 6.295979 4.158704 6.743287
## 5607 5.450995 4.605098 6.296892 4.157308 6.744682
## 5608 5.450995 4.604187 6.297803 4.155914 6.746077
## 5609 5.450995 4.603276 6.298714 4.154521 6.747469
## 5610 5.450995 4.602367 6.299624 4.153130 6.748860
## 5611 5.450995 4.601458 6.300532 4.151740 6.750250
## 5612 5.450995 4.600550 6.301440 4.150352 6.751638
## 5613 5.450995 4.599644 6.302347 4.148965 6.753025
## 5614 5.450995 4.598738 6.303252 4.147580 6.754410
## 5615 5.450995 4.597833 6.304157 4.146196 6.755794
## 5616 5.450995 4.596929 6.305061 4.144814 6.757176
## 5617 5.450995 4.596026 6.305964 4.143433 6.758557
## 5618 5.450995 4.595124 6.306866 4.142054 6.759936
## 5619 5.450995 4.594223 6.307767 4.140676 6.761314
## 5620 5.450995 4.593323 6.308667 4.139299 6.762691
## 5621 5.450995 4.592424 6.309566 4.137924 6.764066
## 5622 5.450995 4.591526 6.310464 4.136551 6.765440
## 5623 5.450995 4.590629 6.311361 4.135179 6.766812
## 5624 5.450995 4.589733 6.312258 4.133808 6.768182
## 5625 5.450995 4.588837 6.313153 4.132439 6.769552
## 5626 5.450995 4.587943 6.314047 4.131071 6.770920
## 5627 5.450995 4.587049 6.314941 4.129704 6.772286
## 5628 5.450995 4.586157 6.315833 4.128339 6.773651
## 5629 5.450995 4.585265 6.316725 4.126976 6.775015
## 5630 5.450995 4.584375 6.317616 4.125613 6.776377
## 5631 5.450995 4.583485 6.318506 4.124252 6.777738
## 5632 5.450995 4.582596 6.319395 4.122893 6.779097
## 5633 5.450995 4.581708 6.320283 4.121535 6.780455
## 5634 5.450995 4.580821 6.321170 4.120178 6.781812
## 5635 5.450995 4.579935 6.322056 4.118823 6.783167
## 5636 5.450995 4.579049 6.322941 4.117469 6.784521
## 5637 5.450995 4.578165 6.323825 4.116116 6.785874
## 5638 5.450995 4.577281 6.324709 4.114765 6.787225
## 5639 5.450995 4.576399 6.325592 4.113415 6.788575
## 5640 5.450995 4.575517 6.326473 4.112067 6.789923
## 5641 5.450995 4.574636 6.327354 4.110720 6.791270
## 5642 5.450995 4.573756 6.328234 4.109374 6.792616
## 5643 5.450995 4.572877 6.329113 4.108030 6.793961
## 5644 5.450995 4.571999 6.329991 4.106687 6.795304
## 5645 5.450995 4.571122 6.330869 4.105345 6.796645
## 5646 5.450995 4.570245 6.331745 4.104005 6.797986
## 5647 5.450995 4.569370 6.332620 4.102666 6.799325
## 5648 5.450995 4.568495 6.333495 4.101328 6.800662
## 5649 5.450995 4.567621 6.334369 4.099991 6.801999
## 5650 5.450995 4.566748 6.335242 4.098656 6.803334
## 5651 5.450995 4.565876 6.336114 4.097323 6.804668
## 5652 5.450995 4.565005 6.336985 4.095990 6.806000
## 5653 5.450995 4.564135 6.337856 4.094659 6.807331
## 5654 5.450995 4.563265 6.338725 4.093329 6.808661
## 5655 5.450995 4.562396 6.339594 4.092001 6.809990
## 5656 5.450995 4.561529 6.340462 4.090674 6.811317
## 5657 5.450995 4.560662 6.341329 4.089348 6.812643
## 5658 5.450995 4.559796 6.342195 4.088023 6.813967
## 5659 5.450995 4.558930 6.343060 4.086700 6.815291
## 5660 5.450995 4.558066 6.343925 4.085377 6.816613
## 5661 5.450995 4.557202 6.344788 4.084057 6.817934
## 5662 5.450995 4.556339 6.345651 4.082737 6.819253
## 5663 5.450995 4.555477 6.346513 4.081419 6.820571
## 5664 5.450995 4.554616 6.347374 4.080102 6.821888
## 5665 5.450995 4.553756 6.348234 4.078786 6.823204
## 5666 5.450995 4.552896 6.349094 4.077472 6.824519
## 5667 5.450995 4.552038 6.349952 4.076159 6.825832
## 5668 5.450995 4.551180 6.350810 4.074847 6.827144
## 5669 5.450995 4.550323 6.351667 4.073536 6.828454
## 5670 5.450995 4.549467 6.352524 4.072226 6.829764
## 5671 5.450995 4.548611 6.353379 4.070918 6.831072
## 5672 5.450995 4.547757 6.354234 4.069611 6.832379
## 5673 5.450995 4.546903 6.355087 4.068306 6.833685
## 5674 5.450995 4.546050 6.355940 4.067001 6.834989
## 5675 5.450995 4.545198 6.356792 4.065698 6.836293
## 5676 5.450995 4.544347 6.357644 4.064396 6.837595
## 5677 5.450995 4.543496 6.358494 4.063095 6.838895
## 5678 5.450995 4.542646 6.359344 4.061795 6.840195
## 5679 5.450995 4.541797 6.360193 4.060497 6.841493
## 5680 5.450995 4.540949 6.361041 4.059200 6.842791
## 5681 5.450995 4.540102 6.361889 4.057904 6.844087
## 5682 5.450995 4.539255 6.362735 4.056609 6.845381
## 5683 5.450995 4.538409 6.363581 4.055315 6.846675
## 5684 5.450995 4.537564 6.364426 4.054023 6.847967
## 5685 5.450995 4.536720 6.365270 4.052732 6.849258
## 5686 5.450995 4.535876 6.366114 4.051442 6.850548
## 5687 5.450995 4.535034 6.366957 4.050153 6.851837
## 5688 5.450995 4.534192 6.367798 4.048865 6.853125
## 5689 5.450995 4.533351 6.368640 4.047579 6.854411
## 5690 5.450995 4.532510 6.369480 4.046294 6.855697
## 5691 5.450995 4.531671 6.370320 4.045010 6.856981
## 5692 5.450995 4.530832 6.371158 4.043727 6.858264
## 5693 5.450995 4.529994 6.371997 4.042445 6.859545
## 5694 5.450995 4.529156 6.372834 4.041164 6.860826
## 5695 5.450995 4.528320 6.373670 4.039885 6.862105
## 5696 5.450995 4.527484 6.374506 4.038607 6.863384
## 5697 5.450995 4.526649 6.375341 4.037330 6.864661
## 5698 5.450995 4.525815 6.376176 4.036054 6.865937
## 5699 5.450995 4.524981 6.377009 4.034779 6.867211
## 5700 5.450995 4.524148 6.377842 4.033505 6.868485
## 5701 5.450995 4.523316 6.378674 4.032233 6.869758
## 5702 5.450995 4.522485 6.379505 4.030961 6.871029
## 5703 5.450995 4.521654 6.380336 4.029691 6.872299
## 5704 5.450995 4.520825 6.381166 4.028422 6.873568
## 5705 5.450995 4.519996 6.381995 4.027154 6.874836
## 5706 5.450995 4.519167 6.382823 4.025887 6.876103
## 5707 5.450995 4.518340 6.383651 4.024622 6.877369
## 5708 5.450995 4.517513 6.384478 4.023357 6.878633
## 5709 5.450995 4.516687 6.385304 4.022094 6.879897
## 5710 5.450995 4.515861 6.386129 4.020831 6.881159
## 5711 5.450995 4.515037 6.386954 4.019570 6.882420
## 5712 5.450995 4.514213 6.387778 4.018310 6.883680
## 5713 5.450995 4.513389 6.388601 4.017051 6.884939
## 5714 5.450995 4.512567 6.389423 4.015793 6.886197
## 5715 5.450995 4.511745 6.390245 4.014536 6.887454
## 5716 5.450995 4.510924 6.391066 4.013280 6.888710
## 5717 5.450995 4.510104 6.391887 4.012026 6.889965
## 5718 5.450995 4.509284 6.392706 4.010772 6.891218
## 5719 5.450995 4.508465 6.393525 4.009520 6.892471
## 5720 5.450995 4.507647 6.394343 4.008268 6.893722
## 5721 5.450995 4.506829 6.395161 4.007018 6.894972
## 5722 5.450995 4.506013 6.395978 4.005769 6.896221
## 5723 5.450995 4.505196 6.396794 4.004521 6.897469
## 5724 5.450995 4.504381 6.397609 4.003274 6.898716
## 5725 5.450995 4.503566 6.398424 4.002028 6.899962
## 5726 5.450995 4.502752 6.399238 4.000783 6.901207
## 5727 5.450995 4.501939 6.400051 3.999539 6.902451
## 5728 5.450995 4.501127 6.400864 3.998296 6.903694
## 5729 5.450995 4.500315 6.401676 3.997055 6.904936
## 5730 5.450995 4.499503 6.402487 3.995814 6.906176
## 5731 5.450995 4.498693 6.403297 3.994575 6.907416
## 5732 5.450995 4.497883 6.404107 3.993336 6.908654
## 5733 5.450995 4.497074 6.404916 3.992099 6.909892
## 5734 5.450995 4.496265 6.405725 3.990862 6.911128
## 5735 5.450995 4.495458 6.406533 3.989627 6.912364
## 5736 5.450995 4.494651 6.407340 3.988392 6.913598
## 5737 5.450995 4.493844 6.408146 3.987159 6.914831
## 5738 5.450995 4.493039 6.408952 3.985927 6.916063
## 5739 5.450995 4.492233 6.409757 3.984696 6.917295
## 5740 5.450995 4.491429 6.410561 3.983465 6.918525
## 5741 5.450995 4.490625 6.411365 3.982236 6.919754
## 5742 5.450995 4.489822 6.412168 3.981008 6.920982
## 5743 5.450995 4.489020 6.412970 3.979781 6.922209
## 5744 5.450995 4.488218 6.413772 3.978555 6.923435
## 5745 5.450995 4.487417 6.414573 3.977330 6.924660
## 5746 5.450995 4.486617 6.415373 3.976106 6.925884
## 5747 5.450995 4.485817 6.416173 3.974883 6.927107
## 5748 5.450995 4.485018 6.416972 3.973661 6.928329
## 5749 5.450995 4.484220 6.417770 3.972440 6.929550
## 5750 5.450995 4.483422 6.418568 3.971220 6.930770
## 5751 5.450995 4.482625 6.419365 3.970001 6.931989
## 5752 5.450995 4.481829 6.420162 3.968783 6.933207
## 5753 5.450995 4.481033 6.420957 3.967566 6.934424
## 5754 5.450995 4.480238 6.421752 3.966350 6.935640
## 5755 5.450995 4.479443 6.422547 3.965135 6.936855
## 5756 5.450995 4.478650 6.423341 3.963921 6.938069
## 5757 5.450995 4.477856 6.424134 3.962708 6.939282
## 5758 5.450995 4.477064 6.424926 3.961496 6.940494
## 5759 5.450995 4.476272 6.425718 3.960285 6.941705
## 5760 5.450995 4.475481 6.426509 3.959075 6.942915
## 5761 5.450995 4.474690 6.427300 3.957866 6.944125
## 5762 5.450995 4.473900 6.428090 3.956658 6.945333
## 5763 5.450995 4.473111 6.428879 3.955451 6.946540
## 5764 5.450995 4.472322 6.429668 3.954244 6.947746
## 5765 5.450995 4.471534 6.430456 3.953039 6.948951
## 5766 5.450995 4.470747 6.431243 3.951835 6.950155
## 5767 5.450995 4.469960 6.432030 3.950632 6.951359
## 5768 5.450995 4.469174 6.432816 3.949430 6.952561
## 5769 5.450995 4.468389 6.433602 3.948228 6.953762
## 5770 5.450995 4.467604 6.434387 3.947028 6.954962
## 5771 5.450995 4.466820 6.435171 3.945828 6.956162
## 5772 5.450995 4.466036 6.435954 3.944630 6.957360
## 5773 5.450995 4.465253 6.436737 3.943433 6.958558
## 5774 5.450995 4.464471 6.437520 3.942236 6.959754
## 5775 5.450995 4.463689 6.438302 3.941040 6.960950
## 5776 5.450995 4.462908 6.439083 3.939846 6.962145
## 5777 5.450995 4.462127 6.439863 3.938652 6.963338
## 5778 5.450995 4.461347 6.440643 3.937459 6.964531
## 5779 5.450995 4.460568 6.441422 3.936267 6.965723
## 5780 5.450995 4.459789 6.442201 3.935077 6.966914
## 5781 5.450995 4.459011 6.442979 3.933887 6.968104
## 5782 5.450995 4.458234 6.443757 3.932698 6.969293
## 5783 5.450995 4.457457 6.444533 3.931510 6.970481
## 5784 5.450995 4.456681 6.445310 3.930322 6.971668
## 5785 5.450995 4.455905 6.446085 3.929136 6.972854
## 5786 5.450995 4.455130 6.446860 3.927951 6.974039
## 5787 5.450995 4.454356 6.447635 3.926766 6.975224
## 5788 5.450995 4.453582 6.448409 3.925583 6.976407
## 5789 5.450995 4.452809 6.449182 3.924400 6.977590
## 5790 5.450995 4.452036 6.449954 3.923219 6.978772
## 5791 5.450995 4.451264 6.450726 3.922038 6.979952
## 5792 5.450995 4.450492 6.451498 3.920858 6.981132
## 5793 5.450995 4.449722 6.452269 3.919679 6.982311
## 5794 5.450995 4.448951 6.453039 3.918501 6.983489
## 5795 5.450995 4.448182 6.453809 3.917324 6.984666
## 5796 5.450995 4.447413 6.454578 3.916148 6.985842
## 5797 5.450995 4.446644 6.455346 3.914973 6.987018
## 5798 5.450995 4.445876 6.456114 3.913798 6.988192
## 5799 5.450995 4.445109 6.456881 3.912625 6.989365
## 5800 5.450995 4.444342 6.457648 3.911452 6.990538
## 5801 5.450995 4.443576 6.458414 3.910281 6.991710
## 5802 5.450995 4.442811 6.459180 3.909110 6.992880
## 5803 5.450995 4.442046 6.459945 3.907940 6.994050
## 5804 5.450995 4.441281 6.460709 3.906771 6.995219
## 5805 5.450995 4.440517 6.461473 3.905603 6.996388
## 5806 5.450995 4.439754 6.462236 3.904435 6.997555
## 5807 5.450995 4.438991 6.462999 3.903269 6.998721
## 5808 5.450995 4.438229 6.463761 3.902104 6.999887
## 5809 5.450995 4.437468 6.464522 3.900939 7.001051
## 5810 5.450995 4.436707 6.465283 3.899775 7.002215
## 5811 5.450995 4.435947 6.466044 3.898612 7.003378
## 5812 5.450995 4.435187 6.466804 3.897450 7.004540
## 5813 5.450995 4.434427 6.467563 3.896289 7.005701
## 5814 5.450995 4.433669 6.468321 3.895129 7.006862
## 5815 5.450995 4.432911 6.469080 3.893969 7.008021
## 5816 5.450995 4.432153 6.469837 3.892811 7.009179
## 5817 5.450995 4.431396 6.470594 3.891653 7.010337
## 5818 5.450995 4.430640 6.471351 3.890496 7.011494
## 5819 5.450995 4.429884 6.472106 3.889340 7.012650
## 5820 5.450995 4.429129 6.472862 3.888185 7.013805
## 5821 5.450995 4.428374 6.473616 3.887031 7.014959
## 5822 5.450995 4.427620 6.474371 3.885877 7.016113
## 5823 5.450995 4.426866 6.475124 3.884725 7.017265
## 5824 5.450995 4.426113 6.475877 3.883573 7.018417
## 5825 5.450995 4.425361 6.476630 3.882422 7.019568
## 5826 5.450995 4.424609 6.477382 3.881272 7.020718
## 5827 5.450995 4.423857 6.478133 3.880123 7.021867
## 5828 5.450995 4.423106 6.478884 3.878975 7.023016
## 5829 5.450995 4.422356 6.479634 3.877827 7.024163
## 5830 5.450995 4.421606 6.480384 3.876681 7.025310
## 5831 5.450995 4.420857 6.481133 3.875535 7.026456
## 5832 5.450995 4.420108 6.481882 3.874390 7.027601
## 5833 5.450995 4.419360 6.482630 3.873246 7.028745
## 5834 5.450995 4.418613 6.483378 3.872102 7.029888
## 5835 5.450995 4.417865 6.484125 3.870960 7.031031
## 5836 5.450995 4.417119 6.484871 3.869818 7.032172
## 5837 5.450995 4.416373 6.485617 3.868677 7.033313
## 5838 5.450995 4.415628 6.486363 3.867537 7.034453
## 5839 5.450995 4.414883 6.487108 3.866398 7.035593
## 5840 5.450995 4.414138 6.487852 3.865259 7.036731
## 5841 5.450995 4.413394 6.488596 3.864122 7.037869
## 5842 5.450995 4.412651 6.489339 3.862985 7.039005
## 5843 5.450995 4.411908 6.490082 3.861849 7.040141
## 5844 5.450995 4.411166 6.490824 3.860714 7.041276
## 5845 5.450995 4.410424 6.491566 3.859580 7.042411
## 5846 5.450995 4.409683 6.492307 3.858446 7.043544
## 5847 5.450995 4.408943 6.493048 3.857313 7.044677
## 5848 5.450995 4.408202 6.493788 3.856181 7.045809
## 5849 5.450995 4.407463 6.494527 3.855050 7.046940
## 5850 5.450995 4.406724 6.495267 3.853920 7.048070
## 5851 5.450995 4.405985 6.496005 3.852790 7.049200
## 5852 5.450995 4.405247 6.496743 3.851662 7.050329
## 5853 5.450995 4.404510 6.497481 3.850534 7.051457
## 5854 5.450995 4.403773 6.498218 3.849407 7.052584
## 5855 5.450995 4.403036 6.498954 3.848280 7.053710
## 5856 5.450995 4.402300 6.499690 3.847155 7.054836
## 5857 5.450995 4.401565 6.500426 3.846030 7.055960
## 5858 5.450995 4.400830 6.501160 3.844906 7.057084
## 5859 5.450995 4.400095 6.501895 3.843783 7.058208
## 5860 5.450995 4.399362 6.502629 3.842660 7.059330
## 5861 5.450995 4.398628 6.503362 3.841539 7.060452
## 5862 5.450995 4.397895 6.504095 3.840418 7.061572
## 5863 5.450995 4.397163 6.504827 3.839298 7.062692
## 5864 5.450995 4.396431 6.505559 3.838179 7.063812
## 5865 5.450995 4.395700 6.506291 3.837060 7.064930
## 5866 5.450995 4.394969 6.507021 3.835942 7.066048
## 5867 5.450995 4.394239 6.507752 3.834825 7.067165
## 5868 5.450995 4.393509 6.508482 3.833709 7.068281
## 5869 5.450995 4.392779 6.509211 3.832594 7.069397
## 5870 5.450995 4.392051 6.509940 3.831479 7.070511
## 5871 5.450995 4.391322 6.510668 3.830365 7.071625
## 5872 5.450995 4.390594 6.511396 3.829252 7.072738
## 5873 5.450995 4.389867 6.512123 3.828140 7.073851
## 5874 5.450995 4.389140 6.512850 3.827028 7.074962
## 5875 5.450995 4.388414 6.513576 3.825917 7.076073
## 5876 5.450995 4.387688 6.514302 3.824807 7.077183
## 5877 5.450995 4.386963 6.515028 3.823698 7.078292
## 5878 5.450995 4.386238 6.515752 3.822589 7.079401
## 5879 5.450995 4.385513 6.516477 3.821482 7.080509
## 5880 5.450995 4.384790 6.517201 3.820374 7.081616
## 5881 5.450995 4.384066 6.517924 3.819268 7.082722
## 5882 5.450995 4.383343 6.518647 3.818163 7.083828
## 5883 5.450995 4.382621 6.519369 3.817058 7.084933
## 5884 5.450995 4.381899 6.520091 3.815954 7.086037
## 5885 5.450995 4.381178 6.520813 3.814850 7.087140
## 5886 5.450995 4.380457 6.521534 3.813748 7.088242
## 5887 5.450995 4.379736 6.522254 3.812646 7.089344
## 5888 5.450995 4.379016 6.522974 3.811545 7.090445
## 5889 5.450995 4.378297 6.523694 3.810445 7.091546
## 5890 5.450995 4.377578 6.524413 3.809345 7.092645
## 5891 5.450995 4.376859 6.525131 3.808246 7.093744
## 5892 5.450995 4.376141 6.525849 3.807148 7.094842
## 5893 5.450995 4.375424 6.526567 3.806051 7.095940
## 5894 5.450995 4.374707 6.527284 3.804954 7.097036
## 5895 5.450995 4.373990 6.528000 3.803858 7.098132
## 5896 5.450995 4.373274 6.528716 3.802763 7.099228
## 5897 5.450995 4.372558 6.529432 3.801668 7.100322
## 5898 5.450995 4.371843 6.530147 3.800574 7.101416
## 5899 5.450995 4.371128 6.530862 3.799481 7.102509
## 5900 5.450995 4.370414 6.531576 3.798389 7.103601
## 5901 5.450995 4.369700 6.532290 3.797298 7.104693
## 5902 5.450995 4.368987 6.533003 3.796207 7.105784
## 5903 5.450995 4.368274 6.533716 3.795116 7.106874
## 5904 5.450995 4.367562 6.534428 3.794027 7.107963
## 5905 5.450995 4.366850 6.535140 3.792938 7.109052
## 5906 5.450995 4.366139 6.535852 3.791850 7.110140
## 5907 5.450995 4.365428 6.536563 3.790763 7.111227
## 5908 5.450995 4.364717 6.537273 3.789676 7.112314
## 5909 5.450995 4.364007 6.537983 3.788591 7.113400
## 5910 5.450995 4.363298 6.538693 3.787505 7.114485
## 5911 5.450995 4.362589 6.539402 3.786421 7.115569
## 5912 5.450995 4.361880 6.540110 3.785337 7.116653
## 5913 5.450995 4.361172 6.540819 3.784254 7.117736
## 5914 5.450995 4.360464 6.541526 3.783172 7.118819
## 5915 5.450995 4.359757 6.542233 3.782090 7.119900
## 5916 5.450995 4.359050 6.542940 3.781009 7.120981
## 5917 5.450995 4.358344 6.543647 3.779929 7.122061
## 5918 5.450995 4.357638 6.544352 3.778849 7.123141
## 5919 5.450995 4.356932 6.545058 3.777771 7.124220
## 5920 5.450995 4.356227 6.545763 3.776692 7.125298
## 5921 5.450995 4.355523 6.546467 3.775615 7.126375
## 5922 5.450995 4.354819 6.547171 3.774538 7.127452
## 5923 5.450995 4.354115 6.547875 3.773462 7.128528
## 5924 5.450995 4.353412 6.548578 3.772387 7.129604
## 5925 5.450995 4.352709 6.549281 3.771312 7.130678
## 5926 5.450995 4.352007 6.549983 3.770238 7.131752
## 5927 5.450995 4.351305 6.550685 3.769165 7.132826
## 5928 5.450995 4.350604 6.551386 3.768092 7.133898
## 5929 5.450995 4.349903 6.552087 3.767020 7.134970
## 5930 5.450995 4.349203 6.552788 3.765949 7.136041
## 5931 5.450995 4.348503 6.553488 3.764878 7.137112
## 5932 5.450995 4.347803 6.554187 3.763808 7.138182
## 5933 5.450995 4.347104 6.554886 3.762739 7.139251
## 5934 5.450995 4.346405 6.555585 3.761671 7.140320
## 5935 5.450995 4.345707 6.556283 3.760603 7.141388
## 5936 5.450995 4.345009 6.556981 3.759535 7.142455
## 5937 5.450995 4.344312 6.557679 3.758469 7.143521
## 5938 5.450995 4.343615 6.558376 3.757403 7.144587
## 5939 5.450995 4.342918 6.559072 3.756338 7.145652
## 5940 5.450995 4.342222 6.559768 3.755273 7.146717
## 5941 5.450995 4.341527 6.560464 3.754209 7.147781
## 5942 5.450995 4.340831 6.561159 3.753146 7.148844
## 5943 5.450995 4.340137 6.561854 3.752084 7.149907
## 5944 5.450995 4.339442 6.562548 3.751022 7.150968
## 5945 5.450995 4.338748 6.563242 3.749961 7.152030
## 5946 5.450995 4.338055 6.563935 3.748900 7.153090
## 5947 5.450995 4.337362 6.564628 3.747840 7.154150
## 5948 5.450995 4.336669 6.565321 3.746781 7.155209
## 5949 5.450995 4.335977 6.566013 3.745722 7.156268
## 5950 5.450995 4.335286 6.566705 3.744665 7.157326
## 5951 5.450995 4.334594 6.567396 3.743607 7.158383
## 5952 5.450995 4.333903 6.568087 3.742551 7.159440
## 5953 5.450995 4.333213 6.568777 3.741495 7.160496
## 5954 5.450995 4.332523 6.569467 3.740439 7.161551
## 5955 5.450995 4.331833 6.570157 3.739385 7.162605
## 5956 5.450995 4.331144 6.570846 3.738331 7.163659
## 5957 5.450995 4.330455 6.571535 3.737278 7.164713
## 5958 5.450995 4.329767 6.572223 3.736225 7.165765
## 5959 5.450995 4.329079 6.572911 3.735173 7.166818
## 5960 5.450995 4.328392 6.573599 3.734121 7.167869
## 5961 5.450995 4.327705 6.574286 3.733071 7.168920
## 5962 5.450995 4.327018 6.574972 3.732021 7.169970
## 5963 5.450995 4.326332 6.575658 3.730971 7.171019
## 5964 5.450995 4.325646 6.576344 3.729922 7.172068
## 5965 5.450995 4.324961 6.577030 3.728874 7.173116
## 5966 5.450995 4.324276 6.577715 3.727826 7.174164
## 5967 5.450995 4.323591 6.578399 3.726780 7.175211
## 5968 5.450995 4.322907 6.579083 3.725733 7.176257
## 5969 5.450995 4.322223 6.579767 3.724688 7.177303
## 5970 5.450995 4.321540 6.580450 3.723643 7.178348
## 5971 5.450995 4.320857 6.581133 3.722598 7.179392
## 5972 5.450995 4.320175 6.581816 3.721554 7.180436
## 5973 5.450995 4.319493 6.582498 3.720511 7.181479
## 5974 5.450995 4.318811 6.583179 3.719469 7.182522
## 5975 5.450995 4.318130 6.583861 3.718427 7.183563
## 5976 5.450995 4.317449 6.584541 3.717386 7.184605
## 5977 5.450995 4.316768 6.585222 3.716345 7.185645
## 5978 5.450995 4.316088 6.585902 3.715305 7.186685
## 5979 5.450995 4.315409 6.586582 3.714266 7.187725
## 5980 5.450995 4.314730 6.587261 3.713227 7.188763
## 5981 5.450995 4.314051 6.587940 3.712189 7.189802
## 5982 5.450995 4.313372 6.588618 3.711151 7.190839
## 5983 5.450995 4.312694 6.589296 3.710114 7.191876
## 5984 5.450995 4.312017 6.589974 3.709078 7.192912
## 5985 5.450995 4.311340 6.590651 3.708042 7.193948
## 5986 5.450995 4.310663 6.591327 3.707007 7.194983
## 5987 5.450995 4.309986 6.592004 3.705973 7.196017
## 5988 5.450995 4.309310 6.592680 3.704939 7.197051
## 5989 5.450995 4.308635 6.593355 3.703906 7.198084
## 5990 5.450995 4.307960 6.594031 3.702873 7.199117
## 5991 5.450995 4.307285 6.594705 3.701841 7.200149
## 5992 5.450995 4.306611 6.595380 3.700810 7.201180
## 5993 5.450995 4.305937 6.596054 3.699779 7.202211
## 5994 5.450995 4.305263 6.596727 3.698749 7.203241
## 5995 5.450995 4.304590 6.597401 3.697719 7.204271
## 5996 5.450995 4.303917 6.598073 3.696691 7.205300
## 5997 5.450995 4.303245 6.598746 3.695662 7.206328
## 5998 5.450995 4.302573 6.599418 3.694634 7.207356
## 5999 5.450995 4.301901 6.600089 3.693607 7.208383
## 6000 5.450995 4.301230 6.600761 3.692581 7.209410
## 6001 5.450995 4.300559 6.601431 3.691555 7.210436
## 6002 5.450995 4.299888 6.602102 3.690529 7.211461
## 6003 5.450995 4.299218 6.602772 3.689505 7.212486
## 6004 5.450995 4.298549 6.603442 3.688480 7.213510
## 6005 5.450995 4.297879 6.604111 3.687457 7.214533
## 6006 5.450995 4.297211 6.604780 3.686434 7.215556
## 6007 5.450995 4.296542 6.605448 3.685412 7.216579
## 6008 5.450995 4.295874 6.606116 3.684390 7.217601
## 6009 5.450995 4.295206 6.606784 3.683369 7.218622
## 6010 5.450995 4.294539 6.607451 3.682348 7.219642
## 6011 5.450995 4.293872 6.608118 3.681328 7.220662
## 6012 5.450995 4.293205 6.608785 3.680309 7.221682
## 6013 5.450995 4.292539 6.609451 3.679290 7.222701
## 6014 5.450995 4.291873 6.610117 3.678271 7.223719
## 6015 5.450995 4.291208 6.610782 3.677254 7.224737
## 6016 5.450995 4.290543 6.611447 3.676237 7.225754
## 6017 5.450995 4.289878 6.612112 3.675220 7.226770
## 6018 5.450995 4.289214 6.612776 3.674204 7.227786
## 6019 5.450995 4.288550 6.613440 3.673189 7.228801
## 6020 5.450995 4.287887 6.614104 3.672174 7.229816
## 6021 5.450995 4.287223 6.614767 3.671160 7.230830
## 6022 5.450995 4.286561 6.615430 3.670146 7.231844
## 6023 5.450995 4.285898 6.616092 3.669133 7.232857
## 6024 5.450995 4.285236 6.616754 3.668121 7.233869
## 6025 5.450995 4.284575 6.617416 3.667109 7.234881
## 6026 5.450995 4.283913 6.618077 3.666098 7.235893
## 6027 5.450995 4.283253 6.618738 3.665087 7.236903
## 6028 5.450995 4.282592 6.619398 3.664077 7.237914
## 6029 5.450995 4.281932 6.620058 3.663067 7.238923
## 6030 5.450995 4.281272 6.620718 3.662058 7.239932
## 6031 5.450995 4.280613 6.621378 3.661050 7.240941
## 6032 5.450995 4.279954 6.622037 3.660042 7.241949
## 6033 5.450995 4.279295 6.622695 3.659034 7.242956
## 6034 5.450995 4.278637 6.623354 3.658028 7.243963
## 6035 5.450995 4.277979 6.624011 3.657021 7.244969
## 6036 5.450995 4.277321 6.624669 3.656016 7.245974
## 6037 5.450995 4.276664 6.625326 3.655011 7.246980
## 6038 5.450995 4.276007 6.625983 3.654006 7.247984
## 6039 5.450995 4.275351 6.626639 3.653002 7.248988
## 6040 5.450995 4.274695 6.627296 3.651999 7.249991
## 6041 5.450995 4.274039 6.627951 3.650996 7.250994
## 6042 5.450995 4.273384 6.628607 3.649994 7.251996
## 6043 5.450995 4.272729 6.629262 3.648992 7.252998
## 6044 5.450995 4.272074 6.629916 3.647991 7.253999
## 6045 5.450995 4.271420 6.630570 3.646990 7.255000
## 6046 5.450995 4.270766 6.631224 3.645990 7.256000
## 6047 5.450995 4.270112 6.631878 3.644991 7.256999
## 6048 5.450995 4.269459 6.632531 3.643992 7.257998
## 6049 5.450995 4.268806 6.633184 3.642994 7.258997
## 6050 5.450995 4.268154 6.633836 3.641996 7.259995
## 6051 5.450995 4.267502 6.634488 3.640999 7.260992
## 6052 5.450995 4.266850 6.635140 3.640002 7.261989
## 6053 5.450995 4.266199 6.635791 3.639006 7.262985
## 6054 5.450995 4.265548 6.636442 3.638010 7.263980
## 6055 5.450995 4.264897 6.637093 3.637015 7.264975
## 6056 5.450995 4.264247 6.637743 3.636020 7.265970
## 6057 5.450995 4.263597 6.638393 3.635026 7.266964
## 6058 5.450995 4.262947 6.639043 3.634033 7.267957
## 6059 5.450995 4.262298 6.639692 3.633040 7.268950
## 6060 5.450995 4.261649 6.640341 3.632048 7.269943
## 6061 5.450995 4.261001 6.640990 3.631056 7.270935
## 6062 5.450995 4.260353 6.641638 3.630064 7.271926
## 6063 5.450995 4.259705 6.642286 3.629074 7.272917
## 6064 5.450995 4.259057 6.642933 3.628084 7.273907
## 6065 5.450995 4.258410 6.643580 3.627094 7.274896
## 6066 5.450995 4.257763 6.644227 3.626105 7.275886
## 6067 5.450995 4.257117 6.644873 3.625116 7.276874
## 6068 5.450995 4.256471 6.645519 3.624128 7.277862
## 6069 5.450995 4.255825 6.646165 3.623141 7.278850
## 6070 5.450995 4.255180 6.646810 3.622154 7.279837
## 6071 5.450995 4.254535 6.647455 3.621167 7.280823
## 6072 5.450995 4.253890 6.648100 3.620181 7.281809
## 6073 5.450995 4.253246 6.648744 3.619196 7.282795
## 6074 5.450995 4.252602 6.649388 3.618211 7.283779
## 6075 5.450995 4.251958 6.650032 3.617227 7.284764
## 6076 5.450995 4.251315 6.650675 3.616243 7.285748
## 6077 5.450995 4.250672 6.651318 3.615259 7.286731
## 6078 5.450995 4.250029 6.651961 3.614277 7.287714
## 6079 5.450995 4.249387 6.652603 3.613294 7.288696
## 6080 5.450995 4.248745 6.653245 3.612313 7.289678
## 6081 5.450995 4.248104 6.653887 3.611332 7.290659
## 6082 5.450995 4.247463 6.654528 3.610351 7.291639
## 6083 5.450995 4.246822 6.655169 3.609371 7.292620
## 6084 5.450995 4.246181 6.655809 3.608391 7.293599
## 6085 5.450995 4.245541 6.656449 3.607412 7.294578
## 6086 5.450995 4.244901 6.657089 3.606433 7.295557
## 6087 5.450995 4.244262 6.657729 3.605455 7.296535
## 6088 5.450995 4.243622 6.658368 3.604478 7.297512
## 6089 5.450995 4.242984 6.659007 3.603501 7.298490
## 6090 5.450995 4.242345 6.659645 3.602524 7.299466
## 6091 5.450995 4.241707 6.660283 3.601548 7.300442
## 6092 5.450995 4.241069 6.660921 3.600573 7.301418
## 6093 5.450995 4.240432 6.661559 3.599598 7.302392
## 6094 5.450995 4.239794 6.662196 3.598623 7.303367
## 6095 5.450995 4.239158 6.662833 3.597649 7.304341
## 6096 5.450995 4.238521 6.663469 3.596676 7.305314
## 6097 5.450995 4.237885 6.664105 3.595703 7.306287
## 6098 5.450995 4.237249 6.664741 3.594731 7.307260
## 6099 5.450995 4.236614 6.665377 3.593759 7.308232
## 6100 5.450995 4.235978 6.666012 3.592787 7.309203
## 6101 5.450995 4.235344 6.666647 3.591817 7.310174
## 6102 5.450995 4.234709 6.667281 3.590846 7.311144
## 6103 5.450995 4.234075 6.667915 3.589876 7.312114
## 6104 5.450995 4.233441 6.668549 3.588907 7.313083
## 6105 5.450995 4.232808 6.669183 3.587938 7.314052
## 6106 5.450995 4.232174 6.669816 3.586970 7.315021
## 6107 5.450995 4.231542 6.670449 3.586002 7.315988
## 6108 5.450995 4.230909 6.671081 3.585034 7.316956
## 6109 5.450995 4.230277 6.671713 3.584068 7.317923
## 6110 5.450995 4.229645 6.672345 3.583101 7.318889
## 6111 5.450995 4.229013 6.672977 3.582135 7.319855
## 6112 5.450995 4.228382 6.673608 3.581170 7.320820
## 6113 5.450995 4.227751 6.674239 3.580205 7.321785
## 6114 5.450995 4.227121 6.674869 3.579241 7.322749
## 6115 5.450995 4.226491 6.675500 3.578277 7.323713
## 6116 5.450995 4.225861 6.676130 3.577314 7.324677
## 6117 5.450995 4.225231 6.676759 3.576351 7.325640
## 6118 5.450995 4.224602 6.677388 3.575388 7.326602
## 6119 5.450995 4.223973 6.678017 3.574427 7.327564
## 6120 5.450995 4.223344 6.678646 3.573465 7.328525
## 6121 5.450995 4.222716 6.679274 3.572504 7.329486
## 6122 5.450995 4.222088 6.679902 3.571544 7.330446
## 6123 5.450995 4.221460 6.680530 3.570584 7.331406
## 6124 5.450995 4.220833 6.681157 3.569624 7.332366
## 6125 5.450995 4.220206 6.681784 3.568666 7.333325
## 6126 5.450995 4.219579 6.682411 3.567707 7.334283
## 6127 5.450995 4.218953 6.683037 3.566749 7.335241
## 6128 5.450995 4.218327 6.683663 3.565792 7.336199
## 6129 5.450995 4.217701 6.684289 3.564835 7.337156
## 6130 5.450995 4.217076 6.684915 3.563878 7.338112
## 6131 5.450995 4.216451 6.685540 3.562922 7.339068
## 6132 5.450995 4.215826 6.686165 3.561967 7.340024
## 6133 5.450995 4.215201 6.686789 3.561012 7.340979
## 6134 5.450995 4.214577 6.687413 3.560057 7.341933
## 6135 5.450995 4.213953 6.688037 3.559103 7.342887
## 6136 5.450995 4.213330 6.688661 3.558149 7.343841
## 6137 5.450995 4.212707 6.689284 3.557196 7.344794
## 6138 5.450995 4.212084 6.689907 3.556244 7.345747
## 6139 5.450995 4.211461 6.690529 3.555291 7.346699
## 6140 5.450995 4.210839 6.691151 3.554340 7.347651
## 6141 5.450995 4.210217 6.691773 3.553388 7.348602
## 6142 5.450995 4.209595 6.692395 3.552438 7.349553
## 6143 5.450995 4.208974 6.693016 3.551487 7.350503
## 6144 5.450995 4.208353 6.693637 3.550538 7.351453
## 6145 5.450995 4.207732 6.694258 3.549588 7.352402
## 6146 5.450995 4.207112 6.694879 3.548640 7.353351
## 6147 5.450995 4.206492 6.695499 3.547691 7.354299
## 6148 5.450995 4.205872 6.696119 3.546743 7.355247
## 6149 5.450995 4.205252 6.696738 3.545796 7.356194
## 6150 5.450995 4.204633 6.697357 3.544849 7.357141
## 6151 5.450995 4.204014 6.697976 3.543902 7.358088
## 6152 5.450995 4.203396 6.698595 3.542956 7.359034
## 6153 5.450995 4.202777 6.699213 3.542011 7.359979
## 6154 5.450995 4.202160 6.699831 3.541066 7.360924
## 6155 5.450995 4.201542 6.700448 3.540121 7.361869
## 6156 5.450995 4.200925 6.701066 3.539177 7.362813
## 6157 5.450995 4.200307 6.701683 3.538233 7.363757
## 6158 5.450995 4.199691 6.702300 3.537290 7.364700
## 6159 5.450995 4.199074 6.702916 3.536347 7.365643
## 6160 5.450995 4.198458 6.703532 3.535405 7.366585
## 6161 5.450995 4.197842 6.704148 3.534463 7.367527
## 6162 5.450995 4.197227 6.704763 3.533522 7.368468
## 6163 5.450995 4.196612 6.705379 3.532581 7.369409
## 6164 5.450995 4.195997 6.705994 3.531641 7.370350
## 6165 5.450995 4.195382 6.706608 3.530701 7.371290
## 6166 5.450995 4.194768 6.707222 3.529761 7.372229
## 6167 5.450995 4.194154 6.707836 3.528822 7.373168
## 6168 5.450995 4.193540 6.708450 3.527884 7.374107
## 6169 5.450995 4.192927 6.709064 3.526945 7.375045
## 6170 5.450995 4.192314 6.709677 3.526008 7.375983
## 6171 5.450995 4.191701 6.710290 3.525071 7.376920
## 6172 5.450995 4.191088 6.710902 3.524134 7.377856
## 6173 5.450995 4.190476 6.711514 3.523198 7.378793
## 6174 5.450995 4.189864 6.712126 3.522262 7.379729
## 6175 5.450995 4.189252 6.712738 3.521326 7.380664
## 6176 5.450995 4.188641 6.713349 3.520391 7.381599
## 6177 5.450995 4.188030 6.713960 3.519457 7.382533
## 6178 5.450995 4.187419 6.714571 3.518523 7.383468
## 6179 5.450995 4.186809 6.715181 3.517589 7.384401
## 6180 5.450995 4.186199 6.715792 3.516656 7.385334
## 6181 5.450995 4.185589 6.716401 3.515723 7.386267
## 6182 5.450995 4.184979 6.717011 3.514791 7.387199
## 6183 5.450995 4.184370 6.717620 3.513859 7.388131
## 6184 5.450995 4.183761 6.718229 3.512928 7.389062
## 6185 5.450995 4.183152 6.718838 3.511997 7.389993
## 6186 5.450995 4.182544 6.719446 3.511067 7.390924
## 6187 5.450995 4.181936 6.720054 3.510137 7.391854
## 6188 5.450995 4.181328 6.720662 3.509207 7.392783
## 6189 5.450995 4.180721 6.721270 3.508278 7.393712
## 6190 5.450995 4.180113 6.721877 3.507349 7.394641
## 6191 5.450995 4.179507 6.722484 3.506421 7.395569
## 6192 5.450995 4.178900 6.723090 3.505493 7.396497
## 6193 5.450995 4.178294 6.723697 3.504566 7.397424
## 6194 5.450995 4.177687 6.724303 3.503639 7.398351
## 6195 5.450995 4.177082 6.724909 3.502713 7.399278
## 6196 5.450995 4.176476 6.725514 3.501787 7.400204
## 6197 5.450995 4.175871 6.726119 3.500861 7.401129
## 6198 5.450995 4.175266 6.726724 3.499936 7.402054
## 6199 5.450995 4.174661 6.727329 3.499011 7.402979
## 6200 5.450995 4.174057 6.727933 3.498087 7.403903
## 6201 5.450995 4.173453 6.728537 3.497163 7.404827
## 6202 5.450995 4.172849 6.729141 3.496240 7.405751
## 6203 5.450995 4.172246 6.729745 3.495317 7.406674
## 6204 5.450995 4.171643 6.730348 3.494394 7.407596
## 6205 5.450995 4.171040 6.730951 3.493472 7.408518
## 6206 5.450995 4.170437 6.731553 3.492550 7.409440
## 6207 5.450995 4.169835 6.732156 3.491629 7.410361
## 6208 5.450995 4.169233 6.732758 3.490708 7.411282
## 6209 5.450995 4.168631 6.733360 3.489788 7.412202
## 6210 5.450995 4.168029 6.733961 3.488868 7.413122
## 6211 5.450995 4.167428 6.734562 3.487949 7.414042
## 6212 5.450995 4.166827 6.735163 3.487030 7.414961
## 6213 5.450995 4.166226 6.735764 3.486111 7.415879
## 6214 5.450995 4.165626 6.736364 3.485193 7.416797
## 6215 5.450995 4.165026 6.736964 3.484275 7.417715
## 6216 5.450995 4.164426 6.737564 3.483358 7.418633
## 6217 5.450995 4.163827 6.738164 3.482441 7.419549
## 6218 5.450995 4.163227 6.738763 3.481524 7.420466
## 6219 5.450995 4.162628 6.739362 3.480608 7.421382
## 6220 5.450995 4.162030 6.739961 3.479693 7.422298
## 6221 5.450995 4.161431 6.740559 3.478777 7.423213
## 6222 5.450995 4.160833 6.741157 3.477863 7.424128
## 6223 5.450995 4.160235 6.741755 3.476948 7.425042
## 6224 5.450995 4.159638 6.742353 3.476034 7.425956
## 6225 5.450995 4.159040 6.742950 3.475121 7.426869
## 6226 5.450995 4.158443 6.743547 3.474208 7.427783
## 6227 5.450995 4.157847 6.744144 3.473295 7.428695
## 6228 5.450995 4.157250 6.744740 3.472383 7.429607
## 6229 5.450995 4.156654 6.745336 3.471471 7.430519
## 6230 5.450995 4.156058 6.745932 3.470560 7.431431
## 6231 5.450995 4.155462 6.746528 3.469649 7.432342
## 6232 5.450995 4.154867 6.747123 3.468738 7.433252
## 6233 5.450995 4.154272 6.747719 3.467828 7.434162
## 6234 5.450995 4.153677 6.748313 3.466918 7.435072
## 6235 5.450995 4.153082 6.748908 3.466009 7.435982
## 6236 5.450995 4.152488 6.749502 3.465100 7.436890
## 6237 5.450995 4.151894 6.750096 3.464191 7.437799
## 6238 5.450995 4.151300 6.750690 3.463283 7.438707
## 6239 5.450995 4.150707 6.751284 3.462376 7.439615
## 6240 5.450995 4.150114 6.751877 3.461468 7.440522
## 6241 5.450995 4.149521 6.752470 3.460562 7.441429
## 6242 5.450995 4.148928 6.753062 3.459655 7.442335
## 6243 5.450995 4.148336 6.753655 3.458749 7.443241
## 6244 5.450995 4.147743 6.754247 3.457844 7.444147
## 6245 5.450995 4.147152 6.754839 3.456938 7.445052
## 6246 5.450995 4.146560 6.755430 3.456034 7.445957
## 6247 5.450995 4.145969 6.756022 3.455129 7.446861
## 6248 5.450995 4.145378 6.756613 3.454225 7.447765
## 6249 5.450995 4.144787 6.757204 3.453322 7.448669
## 6250 5.450995 4.144196 6.757794 3.452419 7.449572
## 6251 5.450995 4.143606 6.758384 3.451516 7.450474
## 6252 5.450995 4.143016 6.758974 3.450614 7.451377
## 6253 5.450995 4.142426 6.759564 3.449712 7.452279
## 6254 5.450995 4.141837 6.760154 3.448810 7.453180
## 6255 5.450995 4.141248 6.760743 3.447909 7.454081
## 6256 5.450995 4.140659 6.761332 3.447008 7.454982
## 6257 5.450995 4.140070 6.761920 3.446108 7.455882
## 6258 5.450995 4.139482 6.762509 3.445208 7.456782
## 6259 5.450995 4.138893 6.763097 3.444309 7.457682
## 6260 5.450995 4.138306 6.763685 3.443410 7.458581
## 6261 5.450995 4.137718 6.764272 3.442511 7.459479
## 6262 5.450995 4.137131 6.764860 3.441613 7.460378
## 6263 5.450995 4.136544 6.765447 3.440715 7.461275
## 6264 5.450995 4.135957 6.766034 3.439817 7.462173
## 6265 5.450995 4.135370 6.766620 3.438920 7.463070
## 6266 5.450995 4.134784 6.767206 3.438024 7.463967
## 6267 5.450995 4.134198 6.767793 3.437127 7.464863
## 6268 5.450995 4.133612 6.768378 3.436231 7.465759
## 6269 5.450995 4.133026 6.768964 3.435336 7.466654
## 6270 5.450995 4.132441 6.769549 3.434441 7.467549
## 6271 5.450995 4.131856 6.770134 3.433546 7.468444
## 6272 5.450995 4.131271 6.770719 3.432652 7.469338
## 6273 5.450995 4.130687 6.771303 3.431758 7.470232
## 6274 5.450995 4.130103 6.771888 3.430865 7.471126
## 6275 5.450995 4.129519 6.772472 3.429971 7.472019
## 6276 5.450995 4.128935 6.773055 3.429079 7.472912
## 6277 5.450995 4.128352 6.773639 3.428186 7.473804
## 6278 5.450995 4.127768 6.774222 3.427295 7.474696
## 6279 5.450995 4.127186 6.774805 3.426403 7.475587
## 6280 5.450995 4.126603 6.775387 3.425512 7.476478
## 6281 5.450995 4.126020 6.775970 3.424621 7.477369
## 6282 5.450995 4.125438 6.776552 3.423731 7.478259
## 6283 5.450995 4.124856 6.777134 3.422841 7.479149
## 6284 5.450995 4.124275 6.777716 3.421951 7.480039
## 6285 5.450995 4.123693 6.778297 3.421062 7.480928
## 6286 5.450995 4.123112 6.778878 3.420173 7.481817
## 6287 5.450995 4.122531 6.779459 3.419285 7.482705
## 6288 5.450995 4.121951 6.780040 3.418397 7.483593
## 6289 5.450995 4.121370 6.780620 3.417509 7.484481
## 6290 5.450995 4.120790 6.781200 3.416622 7.485368
## 6291 5.450995 4.120210 6.781780 3.415735 7.486255
## 6292 5.450995 4.119631 6.782360 3.414849 7.487142
## 6293 5.450995 4.119051 6.782939 3.413963 7.488028
## 6294 5.450995 4.118472 6.783518 3.413077 7.488913
## 6295 5.450995 4.117893 6.784097 3.412192 7.489799
## 6296 5.450995 4.117315 6.784676 3.411307 7.490684
## 6297 5.450995 4.116736 6.785254 3.410422 7.491568
## 6298 5.450995 4.116158 6.785832 3.409538 7.492452
## 6299 5.450995 4.115580 6.786410 3.408654 7.493336
## 6300 5.450995 4.115003 6.786988 3.407771 7.494219
## 6301 5.450995 4.114425 6.787565 3.406888 7.495102
## 6302 5.450995 4.113848 6.788142 3.406005 7.495985
## 6303 5.450995 4.113271 6.788719 3.405123 7.496867
## 6304 5.450995 4.112695 6.789296 3.404241 7.497749
## 6305 5.450995 4.112118 6.789872 3.403360 7.498631
## 6306 5.450995 4.111542 6.790448 3.402479 7.499512
## 6307 5.450995 4.110966 6.791024 3.401598 7.500392
## 6308 5.450995 4.110391 6.791600 3.400717 7.501273
## 6309 5.450995 4.109815 6.792175 3.399838 7.502153
## 6310 5.450995 4.109240 6.792750 3.398958 7.503032
## 6311 5.450995 4.108665 6.793325 3.398079 7.503912
## 6312 5.450995 4.108091 6.793900 3.397200 7.504790
## 6313 5.450995 4.107516 6.794474 3.396321 7.505669
## 6314 5.450995 4.106942 6.795048 3.395443 7.506547
## 6315 5.450995 4.106368 6.795622 3.394566 7.507425
## 6316 5.450995 4.105794 6.796196 3.393688 7.508302
## 6317 5.450995 4.105221 6.796769 3.392811 7.509179
## 6318 5.450995 4.104648 6.797342 3.391935 7.510056
## 6319 5.450995 4.104075 6.797915 3.391058 7.510932
## 6320 5.450995 4.103502 6.798488 3.390183 7.511808
## 6321 5.450995 4.102930 6.799060 3.389307 7.512683
## 6322 5.450995 4.102358 6.799633 3.388432 7.513558
## 6323 5.450995 4.101786 6.800205 3.387557 7.514433
## 6324 5.450995 4.101214 6.800776 3.386683 7.515307
## 6325 5.450995 4.100642 6.801348 3.385809 7.516181
## 6326 5.450995 4.100071 6.801919 3.384935 7.517055
## 6327 5.450995 4.099500 6.802490 3.384062 7.517928
## 6328 5.450995 4.098930 6.803061 3.383189 7.518801
## 6329 5.450995 4.098359 6.803631 3.382317 7.519674
## 6330 5.450995 4.097789 6.804202 3.381445 7.520546
## 6331 5.450995 4.097219 6.804772 3.380573 7.521418
## 6332 5.450995 4.096649 6.805341 3.379701 7.522289
## 6333 5.450995 4.096079 6.805911 3.378830 7.523160
## 6334 5.450995 4.095510 6.806480 3.377960 7.524031
## 6335 5.450995 4.094941 6.807049 3.377089 7.524901
## 6336 5.450995 4.094372 6.807618 3.376219 7.525771
## 6337 5.450995 4.093804 6.808187 3.375350 7.526641
## 6338 5.450995 4.093235 6.808755 3.374481 7.527510
## 6339 5.450995 4.092667 6.809323 3.373612 7.528379
## 6340 5.450995 4.092099 6.809891 3.372743 7.529247
## 6341 5.450995 4.091532 6.810459 3.371875 7.530115
## 6342 5.450995 4.090964 6.811026 3.371007 7.530983
## 6343 5.450995 4.090397 6.811593 3.370140 7.531850
## 6344 5.450995 4.089830 6.812160 3.369273 7.532717
## 6345 5.450995 4.089263 6.812727 3.368406 7.533584
## 6346 5.450995 4.088697 6.813293 3.367540 7.534450
## 6347 5.450995 4.088131 6.813860 3.366674 7.535316
## 6348 5.450995 4.087565 6.814426 3.365808 7.536182
## 6349 5.450995 4.086999 6.814991 3.364943 7.537047
## 6350 5.450995 4.086433 6.815557 3.364078 7.537912
## 6351 5.450995 4.085868 6.816122 3.363214 7.538777
## 6352 5.450995 4.085303 6.816687 3.362349 7.539641
## 6353 5.450995 4.084738 6.817252 3.361486 7.540505
## 6354 5.450995 4.084174 6.817817 3.360622 7.541368
## 6355 5.450995 4.083609 6.818381 3.359759 7.542231
## 6356 5.450995 4.083045 6.818945 3.358896 7.543094
## 6357 5.450995 4.082481 6.819509 3.358034 7.543956
## 6358 5.450995 4.081918 6.820073 3.357172 7.544818
## 6359 5.450995 4.081354 6.820636 3.356310 7.545680
## 6360 5.450995 4.080791 6.821199 3.355449 7.546541
## 6361 5.450995 4.080228 6.821762 3.354588 7.547402
## 6362 5.450995 4.079665 6.822325 3.353727 7.548263
## 6363 5.450995 4.079103 6.822887 3.352867 7.549123
## 6364 5.450995 4.078541 6.823450 3.352007 7.549983
## 6365 5.450995 4.077979 6.824012 3.351148 7.550843
## 6366 5.450995 4.077417 6.824573 3.350288 7.551702
## 6367 5.450995 4.076855 6.825135 3.349430 7.552561
## 6368 5.450995 4.076294 6.825696 3.348571 7.553419
## 6369 5.450995 4.075733 6.826258 3.347713 7.554277
## 6370 5.450995 4.075172 6.826818 3.346855 7.555135
## 6371 5.450995 4.074611 6.827379 3.345998 7.555993
## 6372 5.450995 4.074051 6.827940 3.345140 7.556850
## 6373 5.450995 4.073491 6.828500 3.344284 7.557707
## 6374 5.450995 4.072931 6.829060 3.343427 7.558563
## 6375 5.450995 4.072371 6.829619 3.342571 7.559419
## 6376 5.450995 4.071811 6.830179 3.341716 7.560275
## 6377 5.450995 4.071252 6.830738 3.340860 7.561130
## 6378 5.450995 4.070693 6.831297 3.340005 7.561985
## 6379 5.450995 4.070134 6.831856 3.339150 7.562840
## 6380 5.450995 4.069576 6.832415 3.338296 7.563694
## 6381 5.450995 4.069017 6.832973 3.337442 7.564548
## 6382 5.450995 4.068459 6.833531 3.336589 7.565402
## 6383 5.450995 4.067901 6.834089 3.335735 7.566255
## 6384 5.450995 4.067343 6.834647 3.334882 7.567108
## 6385 5.450995 4.066786 6.835204 3.334030 7.567961
## 6386 5.450995 4.066229 6.835762 3.333177 7.568813
## 6387 5.450995 4.065672 6.836319 3.332326 7.569665
## 6388 5.450995 4.065115 6.836876 3.331474 7.570516
## 6389 5.450995 4.064558 6.837432 3.330623 7.571368
## 6390 5.450995 4.064002 6.837989 3.329772 7.572219
## 6391 5.450995 4.063446 6.838545 3.328921 7.573069
## 6392 5.450995 4.062890 6.839101 3.328071 7.573919
## 6393 5.450995 4.062334 6.839656 3.327221 7.574769
## 6394 5.450995 4.061779 6.840212 3.326372 7.575619
## 6395 5.450995 4.061223 6.840767 3.325522 7.576468
## 6396 5.450995 4.060668 6.841322 3.324674 7.577317
## 6397 5.450995 4.060113 6.841877 3.323825 7.578165
## 6398 5.450995 4.059559 6.842432 3.322977 7.579013
## 6399 5.450995 4.059004 6.842986 3.322129 7.579861
## 6400 5.450995 4.058450 6.843540 3.321282 7.580709
## 6401 5.450995 4.057896 6.844094 3.320434 7.581556
## 6402 5.450995 4.057343 6.844648 3.319588 7.582403
## 6403 5.450995 4.056789 6.845201 3.318741 7.583249
## 6404 5.450995 4.056236 6.845754 3.317895 7.584095
## 6405 5.450995 4.055683 6.846307 3.317049 7.584941
## 6406 5.450995 4.055130 6.846860 3.316204 7.585787
## 6407 5.450995 4.054577 6.847413 3.315358 7.586632
## 6408 5.450995 4.054025 6.847965 3.314514 7.587477
## 6409 5.450995 4.053473 6.848517 3.313669 7.588321
## 6410 5.450995 4.052921 6.849069 3.312825 7.589165
## 6411 5.450995 4.052369 6.849621 3.311981 7.590009
## 6412 5.450995 4.051818 6.850173 3.311138 7.590853
## 6413 5.450995 4.051266 6.850724 3.310295 7.591696
## 6414 5.450995 4.050715 6.851275 3.309452 7.592539
## 6415 5.450995 4.050164 6.851826 3.308609 7.593381
## 6416 5.450995 4.049614 6.852377 3.307767 7.594223
## 6417 5.450995 4.049063 6.852927 3.306925 7.595065
## 6418 5.450995 4.048513 6.853477 3.306084 7.595906
## 6419 5.450995 4.047963 6.854027 3.305243 7.596748
## 6420 5.450995 4.047413 6.854577 3.304402 7.597588
## 6421 5.450995 4.046864 6.855127 3.303561 7.598429
## 6422 5.450995 4.046314 6.855676 3.302721 7.599269
## 6423 5.450995 4.045765 6.856225 3.301881 7.600109
## 6424 5.450995 4.045216 6.856774 3.301042 7.600949
## 6425 5.450995 4.044667 6.857323 3.300203 7.601788
## 6426 5.450995 4.044119 6.857871 3.299364 7.602627
## 6427 5.450995 4.043571 6.858420 3.298525 7.603465
## 6428 5.450995 4.043023 6.858968 3.297687 7.604303
## 6429 5.450995 4.042475 6.859516 3.296849 7.605141
## 6430 5.450995 4.041927 6.860063 3.296012 7.605979
## 6431 5.450995 4.041380 6.860611 3.295174 7.606816
## 6432 5.450995 4.040832 6.861158 3.294337 7.607653
## 6433 5.450995 4.040285 6.861705 3.293501 7.608489
## 6434 5.450995 4.039739 6.862252 3.292665 7.609326
## 6435 5.450995 4.039192 6.862798 3.291829 7.610162## ME RMSE MAE MPE MAPE
## Training set -0.0002737308 0.05688054 0.03307371 -0.01130882 0.5523603
## Test set 0.3769414017 0.43567282 0.37762602 6.33634510 6.3489679
## MASE ACF1
## Training set 0.9547411 -0.0002301638
## Test set 10.9009572 NA