title: “skripsweet3” author: “Nadra” date: “March 26, 2018” output: word_document

  1. Input data
library(readxl)
Jatim_pengeluaran <- read_excel("D:/Kuliah/tkt IV/The Journey Start/SAE/Data SAE/Jatim_pengeluaran.xlsx", 
                                col_types = c("text", "text", "numeric", 
                                              "text", "text", "numeric", "numeric", 
                                              "numeric", "numeric"))
Xnew_ya <- read_excel("D:/Kuliah/tkt IV/The Journey Start/SAE/Data SAE/Xnew ya.xlsx", 
                      sheet = "Sheet2", col_types = c("text", "text", "text", "text", "text", "text", 
                                                      "numeric", "numeric", "numeric", "numeric", "numeric", "numeric", 
                                                      "numeric", "numeric", "numeric", "numeric", "numeric", "numeric", 
                                                      "numeric", "numeric", "numeric", "numeric", "numeric", "numeric", 
                                                      "numeric", "numeric", "numeric", "numeric", "numeric", "numeric", 
                                                      "numeric", "numeric", "numeric", "numeric", "numeric", "numeric", 
                                                      "numeric", "numeric", "numeric", "numeric", "numeric"))
  1. Agregasi Perbaikan variabel untuk mencari variabel yang signifikan
#Agregasi variabel X kedua
x1 <- aggregate(Xnew_ya$X1, list(Xnew_ya$R102),sum,na.rm=TRUE)
x2 <- aggregate(Xnew_ya$X2, list(Xnew_ya$R102),sum,na.rm=TRUE)
x3 <- aggregate(Xnew_ya$X3, list(Xnew_ya$R102),sum,na.rm=TRUE)
x4 <- aggregate(Xnew_ya$X4, list(Xnew_ya$R102),sum,na.rm=TRUE)
x5 <- aggregate(Xnew_ya$X5, list(Xnew_ya$R102),sum,na.rm=TRUE)
x6 <- aggregate(Xnew_ya$X6, list(Xnew_ya$R102),sum,na.rm=TRUE)
x7 <- aggregate(Xnew_ya$X7, list(Xnew_ya$R102),sum,na.rm=TRUE)
x8 <- aggregate(Xnew_ya$X8, list(Xnew_ya$R102),sum,na.rm=TRUE)
x9 <- aggregate(Xnew_ya$X9, list(Xnew_ya$R102),sum,na.rm=TRUE)
x10 <- aggregate(Xnew_ya$X10, list(Xnew_ya$R102),sum,na.rm=TRUE)
x11 <- aggregate(Xnew_ya$X11, list(Xnew_ya$R102),sum,na.rm=TRUE)
x12 <- aggregate(Xnew_ya$X12, list(Xnew_ya$R102),sum,na.rm=TRUE)
x13 <- aggregate(Xnew_ya$X13, list(Xnew_ya$R102),sum,na.rm=TRUE)
x14 <- aggregate(Xnew_ya$X14, list(Xnew_ya$R102),sum,na.rm=TRUE)
x15 <- aggregate(Xnew_ya$X15, list(Xnew_ya$R102),sum,na.rm=TRUE)
x16 <- aggregate(Xnew_ya$X16, list(Xnew_ya$R102),sum,na.rm=TRUE)
x17 <- aggregate(Xnew_ya$X17, list(Xnew_ya$R102),sum,na.rm=TRUE)
x18 <- aggregate(Xnew_ya$X18, list(Xnew_ya$R102),sum,na.rm=TRUE)
x19 <- aggregate(Xnew_ya$X19, list(Xnew_ya$R102),sum,na.rm=TRUE)
x20 <- aggregate(Xnew_ya$X20, list(Xnew_ya$R102),sum,na.rm=TRUE)
x21 <- aggregate(Xnew_ya$X21, list(Xnew_ya$R102),sum,na.rm=TRUE)
x22 <- aggregate(Xnew_ya$X22, list(Xnew_ya$R102),sum,na.rm=TRUE)
x23 <- aggregate(Xnew_ya$X23, list(Xnew_ya$R102),sum,na.rm=TRUE)
x24 <- aggregate(Xnew_ya$X24, list(Xnew_ya$R102),sum,na.rm=TRUE)
x25 <- aggregate(Xnew_ya$X25, list(Xnew_ya$R102),sum,na.rm=TRUE)
x26 <- aggregate(Xnew_ya$X26, list(Xnew_ya$R102),sum,na.rm=TRUE)
x27 <- aggregate(Xnew_ya$X27, list(Xnew_ya$R102),sum,na.rm=TRUE)
x28 <- aggregate(Xnew_ya$X28, list(Xnew_ya$R102),sum,na.rm=TRUE)
x29 <- aggregate(Xnew_ya$X29, list(Xnew_ya$R102),sum,na.rm=TRUE)
x30 <- aggregate(Xnew_ya$X30, list(Xnew_ya$R102),sum,na.rm=TRUE)
x31 <- aggregate(Xnew_ya$X31, list(Xnew_ya$R102),sum,na.rm=TRUE)
x32 <- aggregate(Xnew_ya$X32, list(Xnew_ya$R102),sum,na.rm=TRUE)
x33 <- aggregate(Xnew_ya$X33, list(Xnew_ya$R102),sum,na.rm=TRUE)
x34 <- aggregate(Xnew_ya$X34, list(Xnew_ya$R102),sum,na.rm=TRUE)
x35 <- aggregate(Xnew_ya$X35, list(Xnew_ya$R102),sum,na.rm=TRUE)

# variabel terpilih : x7,x13,x14,x18,x19,x20,x21,x24,x25,x34
mat_x <- matrix(cbind(1,x7$x,x13$x,x14$x,x18$x,x19$x,x20$x,x21$x,x24$x,x25$x,x34$x),ncol = 11)
  1. Fungsi perhitungan jumlah desa
# Fungsi Menghitung Jumlah desa
jml_desa <- function(data){
  r102 = unique(Jatim_pengeluaran$R102)
  de = data.frame(r102)
  Peng_jatim <- data.frame(Jatim_pengeluaran)
  
  ds <- list()
  for (i in r102){
    ds[[i]] <- subset(Peng_jatim, R102 %in% i)
  }
  
  bsz <- list()
  for(j in r102){
    bsz[[j]] <- unique(ds[[j]]$No.Kode.tiga)
  }
  
  Ni <- c()
  for(k in r102){
    Ni[k] <- length(bsz[[k]])
  }
  Ni <- Ni[-c(30:70)]
  N_desa <- data.frame("desa"=Ni)
  return(N_desa)
}

Ni_desa <- jml_desa(Jatim_pengeluaran)
dt1 <- data.frame(cbind("bs_o"=Jatim_pengeluaran$`No Kode Sampel`,"pop"=Jatim_pengeluaran$Exp_krb,"kab"=Jatim_pengeluaran$R102))
  1. Fungsi Perhitungan Resampling one stage cluster without weight
    1. menggunakan rumus pertama
#1. Without weight
  #Pakai rumus awal
  resampling = function(data, dataX, proporsi,iterasi ){
      myDataY = data
      prop = proporsi
      propinsi <- function(data, prop){  
        cb_sampling <- function(data, prop){
          mydata= data
          bs_u <-unique(mydata$bs_o)
          bs_u <- data.frame(bs_u)
          samp_bs <- sample(1:nrow(bs_u), size = prop*nrow(bs_u), replace = FALSE)
          sampi= bs_u[samp_bs,]
          sampi2 = as.matrix(sampi)
          dat = as.matrix(mydata)
          hasil = c()
          for(i in 1: length(sampi2)){
            hasil = rbind(hasil,dat[dat[,1]==sampi[i],])
          }
          hasil <- data.frame(hasil)
          hasil$pop = as.numeric(hasil$pop)
          est_ybar_1cs <- function(data,f){
            hs_sam <- data
            Mi <- data.frame(table(hs_sam$bs_o))
            y_bar_i <- aggregate(hs_sam$pop, by=list(hs_sam$bs_o), FUN=mean)
            y_bar_n <- (sum(y_bar_i$x*Mi$Freq))/sum(Mi$Freq)
            M_bar <- sum(Mi$Freq)/nrow(Mi)
            pnyb <- sum((Mi$Freq^2)*((y_bar_i$x-rep(c(y_bar_n),nrow(Mi)))^2))
            pmbg <- nrow(Mi)*(M_bar)^2*(nrow(Mi)-1)
            var_y_bar_n <- (1-f)*pnyb/pmbg 
            Y_cap_est <- (nrow(Mi)/f)*M_bar*y_bar_n
            Var_cap_est <- ((nrow(Mi)/f)*M_bar)^2*var_y_bar_n
            rel_var_y <- Var_cap_est/Y_cap_est
            hasil <- cbind(Y_cap_est,Var_cap_est,rel_var_y)
            return(hasil)
          }
          result = est_ybar_1cs(hasil, prop)
          
        }
        
        r102 = unique(dt1$kab)
        datakoeh = list()
        for(b in r102){
          datakoeh[[b]] <- subset(dt1, kab %in% b)
        }
        
        try_ye <- list()
        for(c in r102){
          try_ye[[c]] <- cb_sampling(data = datakoeh[[c]], prop = prop)  
        }
        
        this_it = data.frame()
        for (q in r102) {
          this_it <- rbind(this_it, try_ye[[q]])
        }
        this_it = cbind(r102, this_it)
      }  
      #fungsi estimasi synthetic dan composite
      Y_synth_comp <- function(x,y,vary){
        #synthetic function
        xty <- t(x)%*%y
        xtx <- t(x)%*%x
        bt_xy <- solve(xtx)%*%xty
        bt_xy = t(bt_xy)
        Y_syn <- c(rep(0,nrow(x)))
        for(i in 1: ncol(x)){
          Y_syn = Y_syn + x[,i]*bt_xy[,i]
        }
        Y_syn <- as.data.frame(Y_syn)
        mse_syn <- abs(((Y_syn-y)^2)-vary)
        rel_mse_syn <- mse_syn/Y_syn
        #composite function
        tetha_i <- mse_syn/(vary+mse_syn)
        tetha_i[tetha_i<0]<-0
        tetha_i[tetha_i>1]<-1
        Y_comp <- (tetha_i*y) + ((1-tetha_i)*Y_syn)
        mse_comp <- (1-tetha_i)*mse_syn
        rel_mse_comp <- mse_comp/Y_comp
        Syn_Comp <- data.frame(cbind(Y_syn, Y_comp,mse_syn,  mse_comp, rel_mse_syn, rel_mse_comp))
        colnames(Syn_Comp) = c("Y syn","Y comp", "MSE syn",  "MSE comp", "Relatif MSE syn","Relatif MSE comp")
        return(Syn_Comp)
      }
      
      dataset = list()
      est_dataset = list()
      for( j in 1:iterasi){
        set.seed(j)
        dataset[[j]] = propinsi(myDataY, prop)
        est_dataset [[j]] = Y_synth_comp(dataX,dataset[[j]]$Y_cap_est,dataset[[j]]$Var_cap_est)
      }
      
      databind = data.frame()
      databind_ind = data.frame()
      for (b in 1:iterasi) {
        databind = rbind(databind, dataset[[b]])
        databind_ind = rbind(databind_ind, est_dataset[[b]])
      }
      
      datafinal = aggregate(list(databind$Y_cap_est,databind_ind$`Y syn`,databind_ind$`Y comp`,
                                 databind$Var_cap_est,databind_ind$`MSE syn`,databind_ind$`MSE comp`
                                 ,databind$rel_var_y,databind_ind$`Relatif MSE syn`,databind_ind$`Relatif MSE comp`),
                            by=list(databind$r102),
                            FUN=mean)
      colnames(datafinal) = c("kab", "Y dir", "Y syn","Y com", "MSE dir","MSE syn","MSE com",
                              "Relatif MSE dir","Relatif MSE syn","Relatif MSE com")
      return(datafinal)
    }
b. Menggunakan rumus kedua
  #Pakai rumus kedua
  resampling_2 <- function(data, dataX, Ni, proporsi,iterasi ){
  myDataY <- data
  prop <- proporsi
  propinsi <- function(data, prop){  
    cb_sampling <- function(data, prop){
      mydata<- data
      bs_u <-unique(mydata$bs_o)
      bs_u <- data.frame(bs_u)
      samp_bs <- sample(1:nrow(bs_u), size = prop*nrow(bs_u), replace = FALSE)
      sampi=bs_u[samp_bs,]
      sampi2 = as.matrix(sampi)
      dat <- as.matrix(mydata)
      hasil <- c()
      for(i in 1: length(sampi2)){
        hasil = rbind(hasil,dat[dat[,1]==sampi[i],])
      }
      hasil <- data.frame(hasil)
      hasil$pop <- as.numeric(hasil$pop)
      est_ybar_1cs <- function(data,f){
        hs_sam <- data
        Mi <- data.frame(table(hs_sam$bs_o))
        y_bar_i <- aggregate(hs_sam$pop, by=list(hs_sam$bs_o), FUN=mean)
        y_bar_n <- (sum(y_bar_i$x*Mi$Freq))/sum(Mi$Freq)
        M_bar <- sum(Mi$Freq)/nrow(Mi)
        pnyb <- sum((Mi$Freq^2)*((y_bar_i$x-rep(c(y_bar_n),nrow(Mi)))^2))
        pmbg <- nrow(Mi)*(M_bar)^2*(nrow(Mi)-1)
        var_y_bar_n <- (1-f)*pnyb/pmbg 
        Y_cap_est <- (nrow(Mi)/f)*M_bar*y_bar_n
        Var_cap_est <- ((nrow(Mi)/f)*M_bar)^2*var_y_bar_n
        rel_var_y <- Var_cap_est/Y_cap_est
        hasil <- cbind(Y_cap_est,Var_cap_est,rel_var_y)
        return(hasil)
      }
      result <- est_ybar_1cs(hasil, prop)
      
    }
    
    r102 = unique(dt1$kab)
    datakoeh = list()
    for(b in r102){
      datakoeh[[b]] <- subset(dt1, kab %in% b)
    }
    
    try_ye <- list()
    for(c in r102){
      try_ye[[c]] <- cb_sampling(data = datakoeh[[c]], prop = prop)  
    }
    
    this_it = data.frame()
    for (q in r102) {
      this_it <- rbind(this_it, try_ye[[q]])
    }
    this_it = cbind(r102, this_it)
  }
  
  #fungsi estimasi synthetic dan composite
  Y_synth_comp <- function(x,y,vary,Ni){
    #synthetic function
    N <- Ni
    xty <- t(x)%*%y
    xtx <- t(x)%*%x
    bt_xy <- solve(xtx)%*%xty
    bt_xy = t(bt_xy)
    Y_syn <- c(rep(0,nrow(x)))
    for(i in 1: ncol(x)){
      Y_syn = Y_syn + x[,i]*bt_xy[,i]
    }
    Y_syn <- as.data.frame(Y_syn)
    var_y_cap_is <- matrix(var(Y_syn),nrow = nrow(N))
    Ni_2 <- N^2/nrow(N) #Ni kuadrat*1/m
    var_Ysyn_y <- matrix(var(Y_syn - y),nrow = nrow(N))
    ht_2 <- 1/N^2*var_Ysyn_y
    y_sel <- data.frame((Y_syn - y)^2)
    ba_2 <- (1/N^2)*(y_sel)-ht_2
    mse_syn <- var_y_cap_is + (Ni_2*ba_2)
    rel_mse_syn <- mse_syn/Y_syn
    #composite function
    tetha_i <- mse_syn/(vary+mse_syn)
    tetha_i[tetha_i<0]<-0
    tetha_i[tetha_i>1]<-1
    Y_comp <- (tetha_i*y) + ((1-tetha_i)*Y_syn)
    mse_comp <- (1-tetha_i)*mse_syn
    rel_mse_comp <- mse_comp/Y_comp
    Syn_Comp <- data.frame(cbind(Y_syn, Y_comp,mse_syn,  mse_comp, rel_mse_syn, rel_mse_comp))
    colnames(Syn_Comp) = c("Y syn","Y comp", "MSE syn",  "MSE comp", "Relatif MSE syn","Relatif MSE comp")
    return(Syn_Comp)
  }
  
  dataset = list()
  est_dataset = list()
  for( j in 1:iterasi){
    set.seed(j)
    dataset[[j]] = propinsi(myDataY, prop)
    est_dataset [[j]] = Y_synth_comp(dataX,dataset[[j]]$Y_cap_est,dataset[[j]]$Var_cap_est,Ni)
  }
  
  databind = data.frame()
  databind_ind = data.frame()
  for (b in 1:iterasi) {
    databind = rbind(databind, dataset[[b]])
    databind_ind = rbind(databind_ind, est_dataset[[b]])
  }
  
  datafinal = aggregate(list(databind$Y_cap_est,databind_ind$`Y syn`,databind_ind$`Y comp`,
                             databind$Var_cap_est,databind_ind$`MSE syn`,databind_ind$`MSE comp`
                             ,databind$rel_var_y,databind_ind$`Relatif MSE syn`,databind_ind$`Relatif MSE comp`),
                        by=list(databind$r102),
                        FUN=mean)
  colnames(datafinal) = c("kab", "Y dir", "Y syn","Y com", "MSE dir","MSE syn","MSE com",
                          "Relatif MSE dir","Relatif MSE syn","Relatif MSE com")
  return(datafinal)
}
  1. Fungsi Perhitungan Resampling one stage cluster with weight
    1. menggunakan rumus pertama
#2. With weight
#Pakai rumus awal
resampling_weight = function(data, dataX, proporsi,iterasi ){
  myDataY = data
  prop = proporsi
  propinsi <- function(data, prop){  
    cb_sampling <- function(data, prop){
      mydata= data
      bs_u <-unique(mydata$bs_o)
      bs_u <- data.frame(bs_u)
      samp_bs <- sample(1:nrow(bs_u), size = prop*nrow(bs_u), replace = FALSE)
      sampi=bs_u[samp_bs,]
      sampi2 = as.matrix(sampi)
      dat = as.matrix(mydata)
      hasil = c()
      for(i in 1: length(sampi2)){
        hasil = rbind(hasil,dat[dat[,1]==sampi[i],])
      }
      hasil <- data.frame(hasil)
      hasil$pop = as.numeric(hasil$pop)
      est_ybar_1cs <- function(data,f){
        hs_sam <- data
        Mi <- data.frame(table(hs_sam$bs_o))
        y_bar_i <- aggregate(hs_sam$pop, by=list(hs_sam$bs_o), FUN=mean)
        y_bar_n <- (sum(y_bar_i$x*Mi$Freq))/sum(Mi$Freq)
        M_bar <- sum(Mi$Freq)/nrow(Mi)
        pnyb <- sum((Mi$Freq^2)*((y_bar_i$x-rep(c(y_bar_n),nrow(Mi)))^2))
        pmbg <- nrow(Mi)*(M_bar)^2*(nrow(Mi)-1)
        var_y_bar_n <- (1-f)*pnyb/pmbg 
        Y_cap_est <- (nrow(Mi)/f)*M_bar*y_bar_n
        Y_cap_est_weight <- 1/f*Y_cap_est #yang pakai weight
        Var_cap_est <- ((nrow(Mi)/f)*M_bar)^2*var_y_bar_n
        rel_var_y <- Var_cap_est/Y_cap_est
        hasil <- cbind(Y_cap_est,Y_cap_est_weight,Var_cap_est,rel_var_y)
        return(hasil)
      }
      result = est_ybar_1cs(hasil, prop)
      
    }
    
    r102 = unique(dt1$kab)
    datakoeh = list()
    for(b in r102){
      datakoeh[[b]] <- subset(dt1, kab %in% b)
    }
    
    try_ye <- list()
    for(c in r102){
      try_ye[[c]] <- cb_sampling(data = datakoeh[[c]], prop = prop)  
    }
    
    this_it = data.frame()
    for (q in r102) {
      this_it <- rbind(this_it, try_ye[[q]])
    }
    this_it = cbind(r102, this_it)
  }  
  #fungsi estimasi synthetic dan composite
  Y_synth_comp <- function(x,y,vary){
    #synthetic function
    xty <- t(x)%*%y
    xtx <- t(x)%*%x
    bt_xy <- solve(xtx)%*%xty
    bt_xy = t(bt_xy)
    Y_syn <- c(rep(0,nrow(x)))
    for(i in 1: ncol(x)){
      Y_syn = Y_syn + x[,i]*bt_xy[,i]
    }
    Y_syn <- as.data.frame(Y_syn)
    mse_syn <- abs(((Y_syn-y)^2)-vary)
    rel_mse_syn <- mse_syn/Y_syn
    #composite function
    tetha_i <- mse_syn/(vary+mse_syn)
    tetha_i[tetha_i<0]<-0
    tetha_i[tetha_i>1]<-1
    Y_comp <- (tetha_i*y) + ((1-tetha_i)*Y_syn)
    mse_comp <- (1-tetha_i)*mse_syn
    rel_mse_comp <- mse_comp/Y_comp
    Syn_Comp <- data.frame(cbind(Y_syn, Y_comp,mse_syn,  mse_comp, rel_mse_syn, rel_mse_comp))
    colnames(Syn_Comp) = c("Y syn","Y comp", "MSE syn",  "MSE comp", "Relatif MSE syn","Relatif MSE comp")
    return(Syn_Comp)
  }
  
  dataset = list()
  est_dataset = list()
  for( j in 1:iterasi){
    set.seed(j)
    dataset[[j]] = propinsi(myDataY, prop)
    est_dataset [[j]] = Y_synth_comp(dataX,dataset[[j]]$Y_cap_est_weight,dataset[[j]]$Var_cap_est)
  }
  
  databind = data.frame()
  databind_ind = data.frame()
  for (b in 1:iterasi) {
    databind = rbind(databind, dataset[[b]])
    databind_ind = rbind(databind_ind, est_dataset[[b]])
  }
  
  datafinal = aggregate(list(databind$Y_cap_est,databind_ind$`Y syn`,databind_ind$`Y comp`,
                             databind$Var_cap_est,databind_ind$`MSE syn`,databind_ind$`MSE comp`
                             ,databind$rel_var_y,databind_ind$`Relatif MSE syn`,databind_ind$`Relatif MSE comp`),
                        by=list(databind$r102),
                        FUN=mean)
  colnames(datafinal) = c("kab", "Y dir", "Y syn","Y com", "MSE dir","MSE syn","MSE com",
                          "Relatif MSE dir","Relatif MSE syn","Relatif MSE com")
  return(datafinal)
}
b. menggunakan rumus kedua
#Pakai rumus kedua
resampling_weight_2 <- function(data, dataX, Ni, proporsi,iterasi ){
  myDataY <- data
  prop <- proporsi
  propinsi <- function(data, prop){  
    cb_sampling <- function(data, prop){
      mydata<- data
      bs_u <-unique(mydata$bs_o)
      bs_u <- data.frame(bs_u)
      samp_bs <- sample(1:nrow(bs_u), size = prop*nrow(bs_u), replace = FALSE)
      sampi=bs_u[samp_bs,]
      sampi2 = as.matrix(sampi)
      dat <- as.matrix(mydata)
      hasil <- c()
      for(i in 1: length(sampi2)){
        hasil = rbind(hasil,dat[dat[,1]==sampi[i],])
      }
      hasil <- data.frame(hasil)
      hasil$pop <- as.numeric(hasil$pop)
      est_ybar_1cs <- function(data,f){
        hs_sam <- data
        Mi <- data.frame(table(hs_sam$bs_o))
        y_bar_i <- aggregate(hs_sam$pop, by=list(hs_sam$bs_o), FUN=mean)
        y_bar_n <- (sum(y_bar_i$x*Mi$Freq))/sum(Mi$Freq)
        M_bar <- sum(Mi$Freq)/nrow(Mi)
        pnyb <- sum((Mi$Freq^2)*((y_bar_i$x-rep(c(y_bar_n),nrow(Mi)))^2))
        pmbg <- nrow(Mi)*(M_bar)^2*(nrow(Mi)-1)
        var_y_bar_n <- (1-f)*pnyb/pmbg 
        Y_cap_est <- (nrow(Mi)/f)*M_bar*y_bar_n
        Y_cap_est_weight <- 1/f*Y_cap_est #yang pakai weight
        Var_cap_est <- ((nrow(Mi)/f)*M_bar)^2*var_y_bar_n
        rel_var_y <- Var_cap_est/Y_cap_est
        hasil <- cbind(Y_cap_est,Y_cap_est_weight,Var_cap_est,rel_var_y)
        return(hasil)
      }
      result <- est_ybar_1cs(hasil, prop)
      
    }
    
    r102 = unique(dt1$kab)
    datakoeh = list()
    for(b in r102){
      datakoeh[[b]] <- subset(dt1, kab %in% b)
    }
    
    try_ye <- list()
    for(c in r102){
      try_ye[[c]] <- cb_sampling(data = datakoeh[[c]], prop = prop)  
    }
    
    this_it = data.frame()
    for (q in r102) {
      this_it <- rbind(this_it, try_ye[[q]])
    }
    this_it = cbind(r102, this_it)
  }
  
  #fungsi estimasi synthetic dan composite
  Y_synth_comp <- function(x,y,vary,Ni){
    #synthetic function
    N <- Ni
    xty <- t(x)%*%y
    xtx <- t(x)%*%x
    bt_xy <- solve(xtx)%*%xty
    bt_xy = t(bt_xy)
    Y_syn <- c(rep(0,nrow(x)))
    for(i in 1: ncol(x)){
      Y_syn = Y_syn + x[,i]*bt_xy[,i]
    }
    Y_syn <- as.data.frame(Y_syn)
    var_y_cap_is <- matrix(var(Y_syn),nrow = nrow(N))
    Ni_2 <- N^2/nrow(N) #Ni kuadrat*1/m
    var_Ysyn_y <- matrix(var(Y_syn - y),nrow = nrow(N))
    ht_2 <- (1/N^2)*var_Ysyn_y
    y_sel <- data.frame((Y_syn - y)^2)
    ba_2 <- (1/N^2)*(y_sel)-ht_2
    mse_syn <- var_y_cap_is + (Ni_2*ba_2)
    rel_mse_syn <- mse_syn/Y_syn
    #composite function
    tetha_i <- mse_syn/(vary+mse_syn)
    tetha_i[tetha_i<0]<-0
    tetha_i[tetha_i>1]<-1
    Y_comp <- (tetha_i*y) + ((1-tetha_i)*Y_syn)
    mse_comp <- (1-tetha_i)*mse_syn
    rel_mse_comp <- mse_comp/Y_comp
    Syn_Comp <- data.frame(cbind(Y_syn, Y_comp,mse_syn,  mse_comp, rel_mse_syn, rel_mse_comp))
    colnames(Syn_Comp) = c("Y syn","Y comp", "MSE syn",  "MSE comp", "Relatif MSE syn","Relatif MSE comp")
    return(Syn_Comp)
  }
  
  dataset = list()
  est_dataset = list()
  for( j in 1:iterasi){
    set.seed(j)
    dataset[[j]] = propinsi(myDataY, prop)
    est_dataset [[j]] = Y_synth_comp(dataX,dataset[[j]]$Y_cap_est_weight,dataset[[j]]$Var_cap_est,Ni)
  }
  
  databind = data.frame()
  databind_ind = data.frame()
  for (b in 1:iterasi) {
    databind = rbind(databind, dataset[[b]])
    databind_ind = rbind(databind_ind, est_dataset[[b]])
  }
  
  datafinal = aggregate(list(databind$Y_cap_est,databind_ind$`Y syn`,databind_ind$`Y comp`,
                             databind$Var_cap_est,databind_ind$`MSE syn`,databind_ind$`MSE comp`
                             ,databind$rel_var_y,databind_ind$`Relatif MSE syn`,databind_ind$`Relatif MSE comp`),
                        by=list(databind$r102),
                        FUN=mean)
  colnames(datafinal) = c("kab", "Y dir", "Y syn","Y com", "MSE dir","MSE syn","MSE com",
                          "Relatif MSE dir","Relatif MSE syn","Relatif MSE com")
  return(datafinal)
}

Running the data

res_1sc_1 <- resampling(data = dt1, dataX = mat_x, proporsi = 1, iterasi = 10)
res_1sc2_1 <- resampling_2(data = dt1, dataX = mat_x, Ni = Ni_desa, proporsi = 1, iterasi = 10)

res_1sc_0.9 <- resampling(data = dt1, dataX = mat_x, proporsi = 0.9, iterasi = 10)
res_1sc2_0.9 <- resampling_2(data = dt1, dataX = mat_x, Ni = Ni_desa , proporsi = 0.9, iterasi = 10)

res_1sc_0.8 <- resampling(data = dt1, dataX = mat_x, proporsi = 0.8, iterasi = 10)
res_1sc2_0.8 <- resampling_2(data = dt1, dataX = mat_x, Ni = Ni_desa, proporsi = 0.8, iterasi = 10)

res_1sc_0.7 <- resampling(data = dt1, dataX = mat_x, proporsi = 0.7, iterasi = 10)
res_1sc2_0.7 <- resampling_2(data = dt1, dataX = mat_x, Ni = Ni_desa, proporsi = 0.7, iterasi = 10)

res_1sc_0.6 <- resampling(data = dt1, dataX = mat_x, proporsi = 0.6, iterasi = 10)
res_1sc2_0.6 <- resampling_2(data = dt1, dataX = mat_x, Ni = Ni_desa, proporsi = 0.6, iterasi = 10)

res_1sc_0.5 <- resampling(data = dt1, dataX = mat_x, proporsi = 0.5, iterasi = 10)
res_1sc2_0.5 <- resampling_2(data = dt1, dataX = mat_x, Ni = Ni_desa, proporsi = 0.5, iterasi = 10)

ress_1sc_1 <- resampling_weight(data = dt1, dataX = mat_x, proporsi = 1, iterasi = 10)
ress_1sc2_1 <- resampling_weight_2(data = dt1, dataX = mat_x, Ni = Ni_desa, proporsi = 1, iterasi = 10)

ress_1sc_0.9 <- resampling_weight(data = dt1, dataX = mat_x, proporsi = 0.9, iterasi = 10)
ress_1sc2_0.9 <- resampling_weight_2(data = dt1, dataX = mat_x, Ni = Ni_desa , proporsi = 0.9, iterasi = 10)

ress_1sc_0.8 <- resampling_weight(data = dt1, dataX = mat_x, proporsi = 0.8, iterasi = 10)
ress_1sc2_0.8 <- resampling_weight_2(data = dt1, dataX = mat_x, Ni = Ni_desa, proporsi = 0.8, iterasi = 10)

ress_1sc_0.7 <- resampling_weight(data = dt1, dataX = mat_x, proporsi = 0.7, iterasi = 10)
ress_1sc2_0.7 <- resampling_weight_2(data = dt1, dataX = mat_x, Ni = Ni_desa, proporsi = 0.7, iterasi = 10)

ress_1sc_0.6 <- resampling_weight(data = dt1, dataX = mat_x, proporsi = 0.6, iterasi = 10)
ress_1sc2_0.6 <- resampling_weight_2(data = dt1, dataX = mat_x, Ni = Ni_desa, proporsi = 0.6, iterasi = 10)

ress_1sc_0.5 <- resampling_weight(data = dt1, dataX = mat_x, proporsi = 0.5, iterasi = 10)
ress_1sc2_0.5 <- resampling_weight_2(data = dt1, dataX = mat_x, Ni = Ni_desa, proporsi = 0.5, iterasi = 10)

Hasil Resampling a. without weight 1. Resampling 100%

      res_1sc_1
##    kab  Y dir    Y syn  Y com MSE dir      MSE syn MSE com Relatif MSE dir
## 1    1 226801 222986.8 226801       0 1.454819e+07       0               0
## 2   10 481671 491371.2 481671       0 9.409479e+07       0               0
## 3   11 284635 300358.1 284635       0 2.472163e+08       0               0
## 4   12 316410 289505.1 316410       0 7.238717e+08       0               0
## 5   13 343206 349175.9 343206       0 3.563970e+07       0               0
## 6   14 434778 420501.9 434778       0 2.038059e+08       0               0
## 7   15 461280 450573.8 461280       0 1.146229e+08       0               0
## 8   16 314028 309741.7 314028       0 1.837214e+07       0               0
## 9   17 351541 365175.3 351541       0 1.858928e+08       0               0
## 10  18 317206 333449.3 317206       0 2.638447e+08       0               0
## 11  19 285390 241795.8 285390       0 1.900454e+09       0               0
## 12   2 286903 287012.9 286903       0 1.208006e+04       0               0
## 13  20 258840 245472.0 258840       0 1.787042e+08       0               0
## 14  21 308461 290790.1 308461       0 3.122619e+08       0               0
## 15  22 379756 380949.8 379756       0 1.425268e+06       0               0
## 16  23 350703 360940.2 350703       0 1.048012e+08       0               0
## 17  24 349030 354571.2 349030       0 3.070515e+07       0               0
## 18  25 340725 346014.6 340725       0 2.797959e+07       0               0
## 19  26 278631 305628.1 278631       0 7.288427e+08       0               0
## 20  27 287661 302653.5 287661       0 2.247761e+08       0               0
## 21  28 286903 283530.1 286903       0 1.137645e+07       0               0
## 22  29 349733 350486.5 349733       0 5.678016e+05       0               0
## 23   3 285390 281784.1 285390       0 1.300264e+07       0               0
## 24   4 319600 321717.8 319600       0 4.485242e+06       0               0
## 25   5 341551 347863.8 341551       0 3.985086e+07       0               0
## 26   6 441330 428562.5 441330       0 1.630078e+08       0               0
## 27   7 561270 564932.5 561270       0 1.341375e+07       0               0
## 28  71 163306 152747.8 163306       0 1.114753e+08       0               0
## 29  72 113050 132366.7 113050       0 3.731344e+08       0               0
## 30  73 266815 231109.6 266815       0 1.274876e+09       0               0
## 31  74 157080 145013.1 157080       0 1.456100e+08       0               0
## 32  75 123753 136477.7 123753       0 1.619178e+08       0               0
## 33  76 115440 144147.8 115440       0 8.241364e+08       0               0
## 34  77 121771 125802.1 121771       0 1.625002e+07       0               0
## 35  78 542361 567311.8 542361       0 6.225448e+08       0               0
## 36  79 132355 139290.8 132355       0 4.810515e+07       0               0
## 37   8 318003 317330.1 318003       0 4.527983e+05       0               0
## 38   9 617716 595940.7 617716       0 4.741638e+08       0               0
##    Relatif MSE syn Relatif MSE com
## 1     6.524240e+01               0
## 2     1.914943e+02               0
## 3     8.230718e+02               0
## 4     2.500376e+03               0
## 5     1.020681e+02               0
## 6     4.846729e+02               0
## 7     2.543931e+02               0
## 8     5.931437e+01               0
## 9     5.090509e+02               0
## 10    7.912589e+02               0
## 11    7.859749e+03               0
## 12    4.208892e-02               0
## 13    7.280026e+02               0
## 14    1.073840e+03               0
## 15    3.741353e+00               0
## 16    2.903562e+02               0
## 17    8.659796e+01               0
## 18    8.086247e+01               0
## 19    2.384737e+03               0
## 20    7.426846e+02               0
## 21    4.012433e+01               0
## 22    1.620038e+00               0
## 23    4.614397e+01               0
## 24    1.394154e+01               0
## 25    1.145588e+02               0
## 26    3.803595e+02               0
## 27    2.374400e+01               0
## 28    7.298000e+02               0
## 29    2.818945e+03               0
## 30    5.516329e+03               0
## 31    1.004116e+03               0
## 32    1.186405e+03               0
## 33    5.717302e+03               0
## 34    1.291712e+02               0
## 35    1.097359e+03               0
## 36    3.453577e+02               0
## 37    1.426900e+00               0
## 38    7.956560e+02               0
      res_1sc2_1
##    kab  Y dir    Y syn  Y com MSE dir     MSE syn MSE com Relatif MSE dir
## 1    1 226801 222986.8 226801       0 14599353633       0               0
## 2   10 481671 491371.2 481671       0 14602096619       0               0
## 3   11 284635 300358.1 284635       0 14607376670       0               0
## 4   12 316410 289505.1 316410       0 14623813064       0               0
## 5   13 343206 349175.9 343206       0 14600080926       0               0
## 6   14 434778 420501.9 434778       0 14605879761       0               0
## 7   15 461280 450573.8 461280       0 14602804483       0               0
## 8   16 314028 309741.7 314028       0 14599485493       0               0
## 9   17 351541 365175.3 351541       0 14605262067       0               0
## 10  18 317206 333449.3 317206       0 14607950065       0               0
## 11  19 285390 241795.8 285390       0 14664384875       0               0
## 12   2 286903 287012.9 286903       0 14598852388       0               0
## 13  20 258840 245472.0 258840       0 14605014186       0               0
## 14  21 308461 290790.1 308461       0 14609619622       0               0
## 15  22 379756 380949.8 379756       0 14598901118       0               0
## 16  23 350703 360940.2 350703       0 14602465807       0               0
## 17  24 349030 354571.2 349030       0 14599910769       0               0
## 18  25 340725 346014.6 340725       0 14599816785       0               0
## 19  26 278631 305628.1 278631       0 14623984478       0               0
## 20  27 287661 302653.5 287661       0 14606602872       0               0
## 21  28 286903 283530.1 286903       0 14599244263       0               0
## 22  29 349733 350486.5 349733       0 14598871550       0               0
## 23   3 285390 281784.1 285390       0 14599300338       0               0
## 24   4 319600 321717.8 319600       0 14599006635       0               0
## 25   5 341551 347863.8 341551       0 14600226139       0               0
## 26   6 441330 428562.5 441330       0 14604472931       0               0
## 27   7 561270 564932.5 561270       0 14599314514       0               0
## 28  71 163306 152747.8 163306       0 14602695949       0               0
## 29  72 113050 132366.7 113050       0 14611718676       0               0
## 30  73 266815 231109.6 266815       0 14642813228       0               0
## 31  74 157080 145013.1 157080       0 14603873006       0               0
## 32  75 123753 136477.7 123753       0 14604435342       0               0
## 33  76 115440 144147.8 115440       0 14627270468       0               0
## 34  77 121771 125802.1 121771       0 14599412316       0               0
## 35  78 542361 567311.8 542361       0 14620319033       0               0
## 36  79 132355 139290.8 132355       0 14600510769       0               0
## 37   8 318003 317330.1 318003       0 14598867585       0               0
## 38   9 617716 595940.7 617716       0 14615202446       0               0
##    Relatif MSE syn Relatif MSE com
## 1         65471.83               0
## 2         29717.04               0
## 3         48633.20               0
## 4         50513.14               0
## 5         41812.97               0
## 6         34734.39               0
## 7         32409.35               0
## 8         47134.38               0
## 9         39995.21               0
## 10        43808.61               0
## 11        60647.81               0
## 12        50864.79               0
## 13        59497.69               0
## 14        50241.12               0
## 15        38322.37               0
## 16        40456.74               0
## 17        41176.24               0
## 18        42194.23               0
## 19        47848.95               0
## 20        48261.79               0
## 21        51490.99               0
## 22        41653.16               0
## 23        51810.24               0
## 24        45378.29               0
## 25        41971.10               0
## 26        34077.81               0
## 27        25842.58               0
## 28        95600.03               0
## 29       110388.19               0
## 30        63358.74               0
## 31       100707.27               0
## 32       107009.69               0
## 33       101474.13               0
## 34       116050.60               0
## 35        25771.22               0
## 36       104820.36               0
## 37        46005.30               0
## 38        24524.59               0
  2. Resampling 90%
      res_1sc_0.9
##    kab    Y dir    Y syn    Y com  MSE dir    MSE syn    MSE com
## 1    1 202742.9 198505.2 202045.3  2896549   15336488  2396373.5
## 2   10 433848.4 439377.9 435571.5  9293068   21991026  6245777.2
## 3   11 253275.2 267866.1 253558.5  4104925  210415038  4024098.4
## 4   12 285047.7 259335.3 284830.9  5567810  656044366  5520633.2
## 5   13 304140.3 309283.3 305320.5  5982514   20788405  4560119.6
## 6   14 387627.0 375849.0 386550.8 12550986  127574986 11380806.5
## 7   15 414338.9 403440.8 413259.4 11538425  109580748 10350275.3
## 8   16 282903.3 276068.1 282207.4  4724879   42380497  4236910.9
## 9   17 311251.1 325755.2 311662.3  5959340  204581551  5789282.2
## 10  18 285445.8 297955.8 285752.2  3819672  153163165  3725230.9
## 11  19 253650.2 214880.0 253518.5  5107239 1498146478  5089788.5
## 12   2 255229.4 255232.0 255231.4  3546116    3361836  1724513.3
## 13  20 227413.3 219266.5 227050.1  2944371   63817302  2811027.3
## 14  21 277258.3 259161.5 276947.1  5633829  322210758  5536389.7
## 15  22 339909.6 338815.9 339272.8  9179344    7497880  4091005.1
## 16  23 310669.7 323508.0 311233.1  7177815  158943959  6857440.5
## 17  24 309092.8 315051.4 310581.2  8776320   27252029  6541147.9
## 18  25 301844.0 308566.3 303338.6  9648618   37259969  7312202.2
## 19  26 247235.1 271791.6 247515.4  6866347  596894708  6787427.2
## 20  27 255983.0 270591.9 256336.5  5160873  208528587  5035535.5
## 21  28 255078.7 251805.4 253730.8  4571648    6772017  2583616.2
## 22  29 309802.2 310475.7 310149.7  8287884    7814824  4021549.4
## 23   3 253875.7 250747.1 252263.9  4878761    5570792  2094237.2
## 24   4 287680.0 286861.7 287244.5  7053811    6326847  3332278.3
## 25   5 302826.8 310393.9 303493.3  4937735   53560556  4483563.1
## 26   6 393964.7 382842.8 393186.5  8564663  116563923  7952852.9
## 27   7 502340.0 504239.2 503686.5 14386731    9453904  5379741.2
## 28  71 147635.4 135791.7 147477.1  1860017  139484451  1834691.1
## 29  72 100725.3 117525.0 100790.2  1089293  281234154  1085061.2
## 30  73 237766.2 203639.3 237610.0  5328707 1160833492  5304257.9
## 31  74 139166.7 129046.9 138880.5  2889981   99632606  2807522.8
## 32  75 107557.4 121347.9 107633.3  1042327  189783975  1036527.9
## 33  76 102961.1 128547.1 102997.7   935502  653946476   934156.7
## 34  77 106436.2 110096.4 106756.7  1071555   13635809   959914.3
## 35  78 479480.1 503209.5 480170.5 16265513  549829990 15783290.0
## 36  79 115064.4 123866.9 115228.0  1438460   76169424  1411671.6
## 37   8 286162.9 283356.3 283894.6  7311009    1804414  1365077.5
## 38   9 547253.8 530589.3 546240.7 16844535  261336303 15814610.2
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1        14.288052       77.277801       11.860528
## 2        21.419807       50.068009       14.346492
## 3        16.207530      785.141808       15.870766
## 4        19.533320     2529.988255       19.382584
## 5        19.668846       67.194473       14.936791
## 6        32.381089      339.371025       29.441780
## 7        27.847582      271.492808       25.040961
## 8        16.701246      153.486575       15.012528
## 9        19.146407      627.975922       18.575384
## 10       13.381463      514.002192       13.036657
## 11       20.134755     6972.104662       20.076436
## 12       13.893845       13.171931        6.756722
## 13       12.946960      291.129743       12.380415
## 14       20.318131     1243.322115       19.989277
## 15       27.004996       22.128425       12.058664
## 16       23.104742      491.097821       22.033705
## 17       28.393459       86.446709       21.062025
## 18       31.962946      120.697655       24.119066
## 19       27.770355     2196.065055       27.420137
## 20       20.161583      770.592380       19.644769
## 21       17.922280       26.919733       10.181548
## 22       26.751680       25.170570       12.966349
## 23       19.217092       22.253727        8.291393
## 24       24.519859       22.054786       11.600842
## 25       16.306158      172.531157       14.775386
## 26       21.739759      304.335636       20.225433
## 27       28.639688       18.753526       10.683100
## 28       12.600390     1027.154746       12.441997
## 29       10.814333     2392.807169       10.765355
## 30       22.410720     5702.469422       22.322572
## 31       20.766329      772.208680       20.215581
## 32        9.691321     1564.054136        9.630649
## 33        9.085974     5086.547132        9.069671
## 34       10.068042      123.612052        8.997215
## 35       33.918428     1093.716098       32.867239
## 36       12.501863      614.833837       12.251634
## 37       25.548795        6.368328        4.805900
## 38       30.779853      492.580583       28.951481
      res_1sc2_0.9
##    kab    Y dir    Y syn    Y com  MSE dir     MSE syn    MSE com
## 1    1 202742.9 198505.2 202741.8  2896549 11643481916  2895825.6
## 2   10 433848.4 439377.9 433852.9  9293068 11643931953  9285651.9
## 3   11 253275.2 267866.1 253280.4  4104925 11650250431  4103476.6
## 4   12 285047.7 259335.3 285035.4  5567810 11665667404  5565147.0
## 5   13 304140.3 309283.3 304143.0  5982514 11643776326  5979433.3
## 6   14 387627.0 375849.0 387614.3 12550986 11647685121 12537463.4
## 7   15 414338.9 403440.8 414328.1 11538425 11647029714 11526994.4
## 8   16 282903.3 276068.1 282900.6  4724879 11644477514  4722958.7
## 9   17 311251.1 325755.2 311258.5  5959340 11650113222  5956279.1
## 10  18 285445.8 297955.8 285449.9  3819672 11648266392  3818417.9
## 11  19 253650.2 214880.0 253633.3  5107239 11694689526  5104999.6
## 12   2 255229.4 255232.0 255229.4  3546116 11642859545  3545033.4
## 13  20 227413.3 219266.5 227411.3  2944371 11645155317  2943622.5
## 14  21 277258.3 259161.5 277249.6  5633829 11654158177  5631087.6
## 15  22 339909.6 338815.9 339908.7  9179344 11642911172  9172099.6
## 16  23 310669.7 323508.0 310677.6  7177815 11648581528  7173386.3
## 17  24 309092.8 315051.4 309097.3  8776320 11644095548  8769692.8
## 18  25 301844.0 308566.3 301849.6  9648618 11644470728  9640615.6
## 19  26 247235.1 271791.6 247249.5  6866347 11663672538  6862301.9
## 20  27 255983.0 270591.9 255989.5  5160873 11650221793  5158580.5
## 21  28 255078.7 251805.4 255077.4  4571648 11643235454  4569849.1
## 22  29 309802.2 310475.7 309802.7  8287884 11642869503  8281975.4
## 23   3 253875.7 250747.1 253874.4  4878761 11643210425  4876712.0
## 24   4 287680.0 286861.7 287679.5  7053811 11642878259  7049536.6
## 25   5 302826.8 310393.9 302830.0  4937735 11644870373  4935638.2
## 26   6 393964.7 382842.8 393956.5  8564663 11647167970  8558366.9
## 27   7 502340.0 504239.2 502342.3 14386731 11643049423 14368963.1
## 28  71 147635.4 135791.7 147633.6  1860017 11647727138  1859719.8
## 29  72 100725.3 117525.0 100726.9  1089293 11652588482  1089191.0
## 30  73 237766.2 203639.3 237750.6  5328707 11683065680  5326273.4
## 31  74 139166.7 129046.9 139164.2  2889981 11646388452  2889260.8
## 32  75 107557.4 121347.9 107558.7  1042327 11649433408  1042233.6
## 33  76 102961.1 128547.1 102963.2   935502 11665435328   935426.7
## 34  77 106436.2 110096.4 106436.6  1071555 11643360341  1071455.9
## 35  78 479480.1 503209.5 479513.1 16265513 11662373725 16242800.2
## 36  79 115064.4 123866.9 115065.5  1438460 11645529325  1438281.9
## 37   8 286162.9 283356.3 286161.1  7311009 11643129051  7306418.6
## 38   9 547253.8 530589.3 547229.7 16844535 11652445634 16820206.6
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1        14.288052        58656.53       14.284558
## 2        21.419807        26500.96       21.402497
## 3        16.207530        43493.69       16.201480
## 4        19.533320        44983.65       19.524818
## 5        19.668846        37647.56       19.658548
## 6        32.381089        30990.44       32.347256
## 7        27.847582        28869.39       27.820722
## 8        16.701246        42179.99       16.694622
## 9        19.146407        35763.32       19.136114
## 10       13.381463        39094.04       13.376876
## 11       20.134755        54424.32       20.127275
## 12       13.893845        45616.91       13.889605
## 13       12.946960        53110.16       12.943787
## 14       20.318131        44968.64       20.308890
## 15       27.004996        34363.61       26.983752
## 16       23.104742        36007.96       23.089895
## 17       28.393459        36959.94       28.371602
## 18       31.962946        37737.92       31.935852
## 19       27.770355        42914.02       27.752377
## 20       20.161583        43054.76       20.152114
## 21       17.922280        46238.90       17.915319
## 22       26.751680        37500.33       26.732565
## 23       19.217092        46433.87       19.209121
## 24       24.519859        40587.01       24.505040
## 25       16.306158        37516.27       16.299059
## 26       21.739759        30422.72       21.724229
## 27       28.639688        23090.24       28.604185
## 28       12.600390        85777.67       12.598536
## 29       10.814333        99151.73       10.813149
## 30       22.410720        57372.35       22.401956
## 31       20.766329        90250.97       20.761531
## 32        9.691321        96002.53        9.690341
## 33        9.085974        90751.32        9.085061
## 34       10.068042       105758.04       10.067081
## 35       33.918428        23176.27       33.868738
## 36       12.501863        94018.32       12.500200
## 37       25.548795        41090.30       25.532912
## 38       30.779853        21961.21       30.736748
  3. Resampling 80%
      res_1sc_0.8
##    kab     Y dir     Y syn     Y com  MSE dir    MSE syn  MSE com
## 1    1 179158.62 175290.21 177713.91  5322159   10324741  3112830
## 2   10 384749.25 391126.27 387367.87 16477656   24760754  9512476
## 3   11 221861.50 236618.39 222334.04  6957809  211716581  6732867
## 4   12 252889.62 228837.53 252450.93 10550147  568543571 10357073
## 5   13 273489.25 273380.59 273394.18 11208944    9976202  5244359
## 6   14 341604.75 333608.72 338719.60 21881568   44908242 13011675
## 7   15 369128.88 360454.71 366544.55 20243316   63047755 12882922
## 8   16 251619.62 246121.72 249950.90  8921334   22289750  6058551
## 9   17 279725.62 290101.20 280857.19 11713645   96202703 10423896
## 10  18 253765.00 263998.66 254421.78  6711901   98282371  6279478
## 11  19 222606.50 190783.31 222337.49  8555933 1004373643  8482590
## 12   2 223652.12 225376.25 224907.29  6161111    2964889  1879663
## 13  20 202920.00 193816.08 202339.13  5285092   77712702  4944435
## 14  21 246297.75 229135.30 245674.99 10665525  284285011 10274813
## 15  22 300069.88 300866.18 300508.03 16023132   14562587  7607427
## 16  23 279225.12 286372.79 281055.14 12857730   39227283  9450668
## 17  24 277639.00 282777.59 280734.95 15693841   11159256  5991133
## 18  25 272666.75 277214.07 275776.94 18190288    9868956  5586942
## 19  26 216606.38 240415.17 217115.56 12089974  556104434 11828550
## 20  27 224175.75 237981.66 224856.01  9384909  181597158  8916900
## 21  28 223502.62 222904.63 223122.05  8103627    7014985  3690196
## 22  29 277892.25 278437.11 278168.08 14900557   14580814  7369204
## 23   3 222457.62 221021.34 221552.41  8190352    5767696  3307735
## 24   4 255920.00 254896.13 255375.74 12672186   11462378  6012454
## 25   5 272332.75 274453.05 273831.57  8573372    4383357  2782593
## 26   6 346241.12 338899.02 344187.47 14810349   39894107 10480629
## 27   7 444156.62 448228.17 447230.23 25925417   11011622  7199252
## 28  71 130077.38 120436.02 129756.07  3077105   91262765  2972863
## 29  72  88595.50 103882.62  88723.20  1952580  232062519  1936232
## 30  73 208225.50 180012.02 207912.05  8845466  788014949  8747131
## 31  74 121275.00 114227.67 120560.40  5018921   44761789  4502780
## 32  75  96580.75 107518.99  96749.45  1837925  118096170  1809103
## 33  76  90487.50 112478.78  90563.61  1670692  482308110  1664809
## 34  77  94967.62  97698.63  95777.53  1956878    6316260  1213066
## 35  78 428702.88 448015.24 430189.93 28614720  345857047 26391944
## 36  79 102870.50 109526.14 103271.82  2660601   41795595  2498448
## 37   8 254482.38 251345.12 251905.28 13135237    3725806  2639860
## 38   9 487526.50 471888.81 485633.26 29539233  215493460 25940495
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         29.70201        58.98426       17.490196
## 2         42.82857        63.32299       24.572035
## 3         31.36497       894.59312       30.286401
## 4         41.71476      2484.71609       41.022705
## 5         40.98667        36.47934       19.180720
## 6         64.06263       134.63456       38.325989
## 7         54.84136       174.62107       35.017455
## 8         35.45519        90.60215       24.222743
## 9         41.87533       331.58110       37.114297
## 10        26.44928       372.24574       24.681483
## 11        38.43832      5264.53401       38.155494
## 12        27.54715        13.16055        8.361348
## 13        26.04441       401.01532       24.436257
## 14        43.30539      1240.62765       41.824870
## 15        53.39785        48.40155       25.313389
## 16        46.05130       136.92975       33.640599
## 17        56.52478        39.41421       21.353990
## 18        66.71290        35.58177       20.289149
## 19        55.81344      2313.14608       54.478615
## 20        41.86774       762.97546       39.658467
## 21        36.25790        31.44821       16.531796
## 22        53.61898        52.36596       26.491465
## 23        36.81867        26.08053       14.924864
## 24        49.51687        44.96771       23.543927
## 25        31.48164        15.97766       10.164087
## 26        42.78020       117.64642       30.436962
## 27        58.37256        24.57987       16.106344
## 28        23.63938       757.54935       22.893952
## 29        22.04345      2233.55897       21.827358
## 30        42.47486      4378.43404       42.066045
## 31        41.38463       391.99915       37.350128
## 32        19.02638      1098.40519       18.695364
## 33        18.46323      4286.84793       18.382552
## 34        20.61227        64.63241       12.729578
## 35        66.75133       772.36638       61.357558
## 36        25.86461       381.53617       24.194050
## 37        51.61875        14.81681       10.468421
## 38        60.58973       456.69802       53.415319
      res_1sc2_0.8
##    kab     Y dir     Y syn     Y com  MSE dir    MSE syn  MSE com
## 1    1 179158.62 175290.21 179156.40  5322159 9277548285  5319086
## 2   10 384749.25 391126.27 384760.57 16477656 9278430751 16448328
## 3   11 221861.50 236618.39 221872.57  6957809 9284549233  6952564
## 4   12 252889.62 228837.53 252862.34 10550147 9296977486 10538145
## 5   13 273489.25 273380.59 273489.16 11208944 9277051245 11195386
## 6   14 341604.75 333608.72 341585.97 21881568 9279311834 21829915
## 7   15 369128.88 360454.71 369109.97 20243316 9279880843 20199095
## 8   16 251619.62 246121.72 251614.32  8921334 9278084981  8912721
## 9   17 279725.62 290101.20 279738.70 11713645 9280729991 11698812
## 10  18 253765.00 263998.66 253772.40  6711901 9280629229  6707040
## 11  19 222606.50 190783.31 222577.31  8555933 9311937343  8547985
## 12   2 223652.12 225376.25 223653.27  6161111 9277118952  6156970
## 13  20 202920.00 193816.08 202914.81  5285092 9279870730  5282054
## 14  21 246297.75 229135.30 246278.08 10665525 9287179445 10653237
## 15  22 300069.88 300866.18 300071.25 16023132 9277059101 15995481
## 16  23 279225.12 286372.79 279235.05 12857730 9278804772 12839884
## 17  24 277639.00 282777.59 277647.70 15693841 9277934706 15667280
## 18  25 272666.75 277214.07 272675.64 18190288 9277788785 18154634
## 19  26 216606.38 240415.17 216637.28 12089974 9296601648 12074195
## 20  27 224175.75 237981.66 224189.71  9384909 9283594326  9375328
## 21  28 223502.62 222904.63 223502.11  8103627 9277046277  8096506
## 22  29 277892.25 278437.11 277893.13 14900557 9277019763 14876578
## 23   3 222457.62 221021.34 222456.37  8190352 9277092277  8183082
## 24   4 255920.00 254896.13 255918.61 12672186 9277050455 12654861
## 25   5 272332.75 274453.05 272334.71  8573372 9277183426  8565413
## 26   6 346241.12 338899.02 346229.45 14810349 9278895098 14786615
## 27   7 444156.62 448228.17 444167.98 25925417 9277637640 25852974
## 28  71 130077.38 120436.02 130074.15  3077105 9280261836  3076073
## 29  72  88595.50 103882.62  88598.72  1952580 9285078223  1952167
## 30  73 208225.50 180012.02 208198.66  8845466 9304486683  8837043
## 31  74 121275.00 114227.67 121271.20  5018921 9278725313  5016189
## 32  75  96580.75 107518.99  96582.91  1837925 9281144396  1837558
## 33  76  90487.50 112478.78  90491.45  1670692 9293697661  1670388
## 34  77  94967.62  97698.63  94968.20  1956878 9277294018  1956462
## 35  78 428702.88 448015.24 428762.21 28614720 9289921557 28526695
## 36  79 102870.50 109526.14 102872.41  2660601 9278541709  2659837
## 37   8 254482.38 251345.12 254477.94 13135237 9277358375 13116576
## 38   9 487526.50 471888.81 487476.92 29539233 9285458140 29445411
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         29.70201        52928.04        29.68524
## 2         42.82857        23722.29        42.75108
## 3         31.36497        39238.99        31.33975
## 4         41.71476        40627.18        41.67182
## 5         40.98667        33934.53        40.93710
## 6         64.06263        27814.80        63.91491
## 7         54.84136        25744.85        54.72437
## 8         35.45519        37697.45        35.42171
## 9         41.87533        31991.22        41.82034
## 10        26.44928        35154.16        26.42935
## 11        38.43832        48809.14        38.40771
## 12        27.54715        41163.18        27.52849
## 13        26.04441        47880.24        26.03011
## 14        43.30539        40531.43        43.25897
## 15        53.39785        30834.60        53.30546
## 16        46.05130        32401.75        45.98573
## 17        56.52478        32810.36        56.42734
## 18        66.71290        33468.14        66.57996
## 19        55.81344        38669.09        55.73261
## 20        41.86774        39009.83        41.82236
## 21        36.25790        41619.14        36.22612
## 22        53.61898        33318.38        53.53252
## 23        36.81867        41973.69        36.78619
## 24        49.51687        36395.33        49.44944
## 25        31.48164        33802.27        31.45218
## 26        42.78020        27379.45        42.71307
## 27        58.37256        20698.35        58.20794
## 28        23.63938        77057.14        23.63205
## 29        22.04345        89383.05        22.03799
## 30        42.47486        51688.66        42.43991
## 31        41.38463        81232.16        41.36341
## 32        19.02638        86323.63        19.02216
## 33        18.46323        82630.51        18.45906
## 34        20.61227        94961.82        20.60775
## 35        66.75133        20735.65        66.53674
## 36        25.86461        84717.63        25.85670
## 37        51.61875        36911.03        51.54631
## 38        60.58973        19677.14        60.40344
  4. Resampling 70%
      res_1sc_0.7
##    kab     Y dir     Y syn     Y com  MSE dir   MSE syn  MSE com
## 1    1 155045.29 153800.31 154218.48  6954616   4743247  2719589
## 2   10 337514.43 342379.06 341239.04 22431652   7647797  4997572
## 3   11 198529.57 207676.58 199596.20  9672909  74819683  8517231
## 4   12 221606.71 201704.72 220932.58 13432871 383312135 12974030
## 5   13 233785.29 240163.36 235940.47 13542047  27739121  8766923
## 6   14 303089.57 290951.77 300545.29 30265416 119205691 23571663
## 7   15 320262.29 311345.45 317098.19 27144723  55733840 16713041
## 8   16 220494.43 214135.29 218680.67 11524474  29105896  8215928
## 9   17 239706.14 253489.17 240725.25 14021460 176175762 12964854
## 10  18 222483.29 231595.23 223436.01  8569218  75339847  7633392
## 11  19 198378.00 166962.71 198004.70 11728571 975500756 11587168
## 12   2 199207.14 197989.19 198514.87  8360667   6732383  3710623
## 13  20 178285.71 170882.17 177285.79  7339708  47804797  6320118
## 14  21 216030.29 201592.95 215139.54 12775069 196870252 11958032
## 15  22 261187.86 261710.21 261487.31 21294772  19595511 10166549
## 16  23 238714.86 249015.19 240366.49 16942707  89541625 14197936
## 17  24 237724.29 242292.14 241108.14 19421438   8112222  4914402
## 18  25 232975.00 237711.59 236027.03 22266252  13955098  7267296
## 19  26 194414.00 211548.89 195383.79 16303262 281835329 15338469
## 20  27 200264.71 210298.94 201443.41 11816053  88978226 10407700
## 21  28 199584.57 196982.34 197666.45 11264669   4883945  3211512
## 22  29 238098.00 238722.58 238413.78 18773759  18376816  9286498
## 23   3 198077.29 194470.42 195403.16 11548273   4334317  2782356
## 24   4 224000.00 223113.85 223513.32 16352727  14935694  7782305
## 25   5 232480.29 241911.22 233727.71 11568061  78703827  9974919
## 26   6 307291.29 298454.68 305062.61 19537992  59351954 14496020
## 27   7 385881.14 390661.15 389050.79 33126843  20578271 11931396
## 28  71 114532.71 106174.39 113992.41  4228771  72250369  3921947
## 29  72  76519.00  92180.95  76682.17  2552894 242928308  2525908
## 30  73 185937.86 158334.50 185480.34 12607804 751427473 12396840
## 31  74 108921.43 101225.39 108017.67  6925858  52514747  6100584
## 32  75  85369.00  95084.76  85642.04  2584289  93734393  2506565
## 33  76  78021.43  99634.38  78127.24  2285941 465140263  2274627
## 34  77  83797.86  86670.96  84556.77  2628376   9341921  1626871
## 35  78 374831.00 392670.23 377008.48 38714974 280283234 33936189
## 36  79  91138.14  97140.49  91719.62  3434729  32994900  3085256
## 37   8 222722.00 220554.64 221378.21 17100765  11994859  6913855
## 38   9 427802.43 413472.42 425153.79 37775363 168422635 30672238
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         44.85426        30.82338        17.63115
## 2         66.46439        22.33727        14.67318
## 3         48.73628       360.14831        42.68502
## 4         60.60581      1900.56919        58.71606
## 5         57.93889       115.39419        37.17048
## 6         99.88496       409.59391        78.41954
## 7         84.75476       179.11548        52.62602
## 8         52.25767       135.91285        37.56265
## 9         58.49315       694.95364        53.85359
## 10        38.51145       325.24847        34.16084
## 11        59.11861      5843.08581        58.51757
## 12        41.97277        34.00429        18.69340
## 13        41.17064       279.90118        35.65205
## 14        59.13256       976.51828        55.58242
## 15        81.52177        74.89565        38.88162
## 16        70.97654       359.59093        59.07334
## 17        81.70222        33.44473        20.41394
## 18        95.58263        58.78820        30.91861
## 19        83.84718      1332.38354        78.50876
## 20        59.00525       423.10936        51.66598
## 21        56.43621        24.78269        16.23612
## 22        78.85695        76.98783        38.95519
## 23        58.29237        22.34778        14.23437
## 24        73.00530        66.92816        34.81717
## 25        49.76427       325.34335        42.69287
## 26        63.57202       198.75234        47.49430
## 27        85.84627        52.65929        30.67442
## 28        36.85918       679.22058        34.31060
## 29        33.35265      2635.33909        32.92935
## 30        67.76691      4745.44968        66.79792
## 31        63.58582       519.12509        56.47941
## 32        30.25628       985.69532        29.25711
## 33        29.29889      4667.27677        29.11399
## 34        31.38108       107.41172        19.38817
## 35       103.28147       714.09031        90.02112
## 36        37.68895       339.60161        33.64392
## 37        76.78445        54.36782        31.22454
## 38        88.29142       407.37521        72.13551
      res_1sc2_0.7
##    kab     Y dir     Y syn     Y com  MSE dir    MSE syn  MSE com
## 1    1 155045.29 153800.31 155044.03  6954616 6992781355  6947663
## 2   10 337514.43 342379.06 337530.06 22431652 6993556415 22359249
## 3   11 198529.57 207676.58 198542.22  9672909 6995618639  9659434
## 4   12 221606.71 201704.72 221568.52 13432871 7006385963 13406797
## 5   13 233785.29 240163.36 233797.60 13542047 6994128590 13515587
## 6   14 303089.57 290951.77 303037.61 30265416 6997859277 30134099
## 7   15 320262.29 311345.45 320227.77 27144723 6995562983 27039094
## 8   16 220494.43 214135.29 220483.93 11524474 6994106148 11505354
## 9   17 239706.14 253489.17 239733.68 14021460 6999263626 13993015
## 10  18 222483.29 231595.23 222494.41  8569218 6995598517  8558575
## 11  19 198378.00 166962.71 198325.63 11728571 7026747492 11708733
## 12   2 199207.14 197989.19 199205.70  8360667 6992761249  8350571
## 13  20 178285.71 170882.17 178277.97  7339708 6994606636  7331948
## 14  21 216030.29 201592.95 216004.01 12775069 6999934250 12751257
## 15  22 261187.86 261710.21 261189.39 21294772 6992763696 21229790
## 16  23 238714.86 249015.19 238739.73 16942707 6996376975 16901704
## 17  24 237724.29 242292.14 237736.88 19421438 6993469673 19367511
## 18  25 232975.00 237711.59 232990.04 22266252 6993582073 22194685
## 19  26 194414.00 211548.89 194453.68 16303262 7002985742 16265268
## 20  27 200264.71 210298.94 200281.64 11816053 6996180766 11795878
## 21  28 199584.57 196982.34 199580.36 11264669 6992956127 11246467
## 22  29 238098.00 238722.58 238099.67 18773759 6992718789 18723098
## 23   3 198077.29 194470.42 198071.32 11548273 6993171257 11529030
## 24   4 224000.00 223113.85 223997.95 16352727 6992753964 16314271
## 25   5 232480.29 241911.22 232495.86 11568061 6995817925 11548882
## 26   6 307291.29 298454.68 307266.60 19537992 6995425444 19483004
## 27   7 385881.14 390661.15 385903.59 33126843 6993668580 32970453
## 28  71 114532.71 106174.39 114527.51  4228771 6995342313  4226180
## 29  72  76519.00  92180.95  76524.71  2552894 7001169970  2551952
## 30  73 185937.86 158334.50 185888.32 12607804 7019051145 12585048
## 31  74 108921.43 101225.39 108913.82  6925858 6994754777  6918973
## 32  75  85369.00  95084.76  85372.57  2584289 6996026435  2583324
## 33  76  78021.43  99634.38  78028.48  2285941 7008823246  2285188
## 34  77  83797.86  86670.96  83798.93  2628376 6993088339  2627385
## 35  78 374831.00 392670.23 374929.02 38714974 7003705039 38501499
## 36  79  91138.14  97140.49  91141.08  3434729 6993961295  3433028
## 37   8 222722.00 220554.64 222716.75 17100765 6992881167 17058828
## 38   9 427802.43 413472.42 427725.55 37775363 6999815377 37571285
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         44.85426        45467.53        44.80979
## 2         66.46439        20426.47        66.24673
## 3         48.73628        33685.64        48.66523
## 4         60.60581        34736.07        60.49879
## 5         57.93889        29122.66        57.82258
## 6         99.88496        24051.70        99.46854
## 7         84.75476        22468.98        84.43412
## 8         52.25767        32662.28        52.17350
## 9         58.49315        27611.78        58.36770
## 10        38.51145        30206.34        38.46167
## 11        59.11861        42085.94        59.03445
## 12        41.97277        35319.04        41.92238
## 13        41.17064        40932.94        41.12891
## 14        59.13256        34723.09        59.02968
## 15        81.52177        26719.94        81.27257
## 16        70.97654        28096.52        70.79738
## 17        81.70222        28864.16        81.47103
## 18        95.58263        29421.23        95.26919
## 19        83.84718        33103.39        83.63471
## 20        59.00525        33267.97        58.89946
## 21        56.43621        35500.59        56.34622
## 22        78.85695        29292.62        78.64357
## 23        58.29237        35960.79        58.19703
## 24        73.00530        31341.74        72.83427
## 25        49.76427        28919.00        49.67841
## 26        63.57202        23439.02        63.39829
## 27        85.84627        17902.18        85.43603
## 28        36.85918        65886.60        36.83836
## 29        33.35265        75951.65        33.33784
## 30        67.76691        44333.18        67.66280
## 31        63.58582        69102.09        63.52706
## 32        30.25628        73578.60        30.24371
## 33        29.29889        70347.13        29.28656
## 34        31.38108        80690.71        31.36883
## 35       103.28147        17836.44       102.68510
## 36        37.68895        71999.58        37.66906
## 37        76.78445        31706.08        76.59794
## 38        88.29142        16929.43        87.83036
  5. Resampling 60%
      res_1sc_0.6
##    kab     Y dir     Y syn     Y com  MSE dir   MSE syn  MSE com
## 1    1 131209.17 130546.80 130804.05  7790370   6703861  3547409
## 2   10 288712.00 294558.06 292489.46 24564277  14702548  7772658
## 3   11 166135.33 176101.76 167171.91 10335000  89796552  9244925
## 4   12 190165.00 171300.81 189336.53 15627389 340578932 14936737
## 5   13 203035.33 203043.92 203042.71 16407864  15380413  7930051
## 6   14 255308.67 248302.15 251352.13 33996993  30068945 12718652
## 7   15 276685.50 268579.56 272944.48 32397899  45887081 15633211
## 8   16 187863.17 183890.71 184861.73 13215098   4769015  3024282
## 9   17 207584.17 217640.85 209124.08 15413602  86073129 13010925
## 10  18 190483.83 197706.38 191933.19  9997570  43763623  7727681
## 11  19 166433.50 142425.65 165859.33 13785927 562904660 13452378
## 12   2 168001.67 167979.56 168008.40  8648007   7727332  4062807
## 13  20 153940.00 145142.91 153036.08  7933214  69716246  7108093
## 14  21 185474.00 171509.13 184227.53 17090833 180276893 15483147
## 15  22 221108.00 223526.84 222594.50 23178324  16685085  9514102
## 16  23 207752.00 212452.35 211012.52 19480639   9858849  5204307
## 17  24 206421.67 208912.90 207938.89 23409424  16519734  9542173
## 18  25 201641.83 205545.34 204159.13 27431043  18598126 10097936
## 19  26 162738.67 179983.89 163798.61 18112178 284114446 16972954
## 20  27 168300.83 177878.36 169772.00 13878449  78608667 11628901
## 21  28 167253.33 167484.43 167371.61 12571606  12248676  6203155
## 22  29 206618.17 207089.76 206855.23 22795775  22568102 11340647
## 23   3 166656.67 164502.48 165269.63 12732799   7819024  4756415
## 24   4 191680.00 190989.74 191323.99 18081133  17466611  8880555
## 25   5 202051.17 205899.12 204110.26 12210829  11174491  5044392
## 26   6 260126.83 254413.62 256522.36 22536140  15520755  7128552
## 27   7 327930.00 334830.51 331804.49 37742686  33196379 14885296
## 28  71  98569.00  90526.73  97894.66  5251516  63378387  4785661
## 29  72  64312.00  78221.17  64520.76  2883401 191435461  2838504
## 30  73 155092.83 134259.12 154432.65 13679542 423755151 13238236
## 31  74  91025.00  86134.69  89397.88  7724005  16560693  4908097
## 32  75  73756.67  80923.46  74185.83  3036826  48801293  2847857
## 33  76  65566.67  83662.37  65691.27  2250220 325755151  2234194
## 34  77  71549.67  73516.06  72236.58  2881784   5255019  1557109
## 35  78 323869.33 337361.81 327142.90 43855631 139823844 32942315
## 36  79  78337.50  82536.22  79224.68  3655034  14270838  2844592
## 37   8 190961.50 188536.72 189425.18 21349069  14574356  8450279
## 38   9 369298.17 355732.86 366123.82 42703155 142712899 32441775
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         59.38240        51.32543        27.11705
## 2         85.06906        50.01441        26.69132
## 3         62.21859       509.54227        55.30682
## 4         82.15989      1988.55796        78.87493
## 5         80.81001        75.77245        39.06098
## 6        133.20864       120.91727        50.32864
## 7        117.08111       170.24831        56.94585
## 8         70.31617        25.95448        16.31795
## 9         74.25086       395.45264        62.21708
## 10        52.45862       221.10782        40.26539
## 11        82.83908      3952.37375        81.11766
## 12        51.47694        46.02128        24.18606
## 13        51.53723       480.53026        46.45115
## 14        92.20024      1051.10623        84.08143
## 15       104.82710        74.66995        42.75041
## 16        93.76400        46.30186        24.74057
## 17       113.42121        79.08526        45.88975
## 18       136.04056        90.51993        49.57343
## 19       111.41376      1579.00515       103.74991
## 20        82.44847       441.77108        68.49124
## 21        75.17471        73.13942        37.06580
## 22       110.29899       108.94896        54.80969
## 23        76.40021        47.49312        28.76597
## 24        94.33011        91.43304        46.41165
## 25        60.42776        54.27746        24.76888
## 26        86.66289        60.81575        27.61559
## 27       115.11700        99.09822        45.02055
## 28        53.16688       699.00573        48.74097
## 29        44.82219      2445.76695        43.97944
## 30        88.17425      3157.99367        85.69411
## 31        84.85586       192.83937        54.87768
## 32        41.16572       602.76755        38.38251
## 33        34.31957      3891.11647        34.00859
## 34        40.28553        71.34514        21.65621
## 35       135.43797       415.25190       100.77764
## 36        46.64461       172.79699        35.91495
## 37       111.79449        77.23727        44.59134
## 38       115.61941       401.42999        88.59829
      res_1sc2_0.6
##    kab     Y dir     Y syn     Y com  MSE dir    MSE syn  MSE com
## 1    1 131209.17 130546.80 131208.19  7790370 5213493816  7778649
## 2   10 288712.00 294558.06 288739.12 24564277 5214684070 24448487
## 3   11 166135.33 176101.76 166155.21 10335000 5216909162 10314074
## 4   12 190165.00 171300.81 190108.72 15627389 5225739327 15580462
## 5   13 203035.33 203043.92 203035.22 16407864 5213491779 16355488
## 6   14 255308.67 248302.15 255263.46 33996993 5215344906 33773952
## 7   15 276685.50 268579.56 276635.14 32397899 5215996973 32197408
## 8   16 187863.17 183890.71 187852.91 13215098 5214025571 13181214
## 9   17 207584.17 217640.85 207613.75 15413602 5216955893 15367922
## 10  18 190483.83 197706.38 190497.47  9997570 5215310184  9978113
## 11  19 166433.50 142425.65 166370.35 13785927 5233342232 13749208
## 12   2 168001.67 167979.56 168001.61  8648007 5213488098  8633482
## 13  20 153940.00 145142.91 153926.63  7933214 5216133918  7921061
## 14  21 185474.00 171509.13 185428.69 17090833 5220262134 17034408
## 15  22 221108.00 223526.84 221118.65 23178324 5213680255 23075039
## 16  23 207752.00 212452.35 207769.42 19480639 5214275961 19407649
## 17  24 206421.67 208912.90 206433.02 23409424 5213693926 23303689
## 18  25 201641.83 205545.34 201661.79 27431043 5214130827 27286142
## 19  26 162738.67 179983.89 162798.73 18112178 5223877958 18048842
## 20  27 168300.83 177878.36 168326.09 13878449 5216645561 13841088
## 21  28 167253.33 167484.43 167253.93 12571606 5213467486 12540773
## 22  29 206618.17 207089.76 206620.22 22795775 5213464201 22694511
## 23   3 166656.67 164502.48 166651.43 12732799 5213625791 12701520
## 24   4 191680.00 190989.74 191677.72 18081133 5213477541 18017161
## 25   5 202051.17 205899.12 202060.05 12210829 5214052574 12181730
## 26   6 260126.83 254413.62 260102.37 22536140 5214656653 22438596
## 27   7 327930.00 334830.51 327979.97 37742686 5215372539 37469373
## 28  71  98569.00  90526.73  98560.67  5251516 5215822899  5246126
## 29  72  64312.00  78221.17  64319.66  2883401 5220157001  2881776
## 30  73 155092.83 134259.12 155038.32 13679542 5228540305 13643502
## 31  74  91025.00  86134.69  91017.87  7724005 5214293753  7712363
## 32  75  73756.67  80923.46  73760.82  3036826 5215243871  3035042
## 33  76  65566.67  83662.37  65574.46  2250220 5224766880  2249223
## 34  77  71549.67  73516.06  71550.72  2881784 5213669760  2880172
## 35  78 323869.33 337361.81 323981.93 43855631 5219790125 43485524
## 36  79  78337.50  82536.22  78340.44  3655034 5214074484  3652456
## 37   8 190961.50 188536.72 190951.50 21349069 5213689961 21261213
## 38   9 369298.17 355732.86 369188.17 42703155 5219850007 42353627
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         59.38240        39937.30        59.29347
## 2         85.06906        17704.01        84.66022
## 3         62.21859        29625.11        62.08490
## 4         82.15989        30507.84        81.93767
## 5         80.81001        25677.13        80.55218
## 6        133.20864        21004.06       132.35803
## 7        117.08111        19420.72       116.37793
## 8         70.31617        28353.96        70.13989
## 9         74.25086        23970.51        74.02021
## 10        52.45862        26379.89        52.35282
## 11        82.83908        36744.00        82.65022
## 12        51.47694        31036.42        51.39049
## 13        51.53723        35939.56        51.46279
## 14        92.20024        30436.96        91.91828
## 15       104.82710        23325.36       104.35497
## 16        93.76400        24544.04        93.40483
## 17       113.42121        24956.36       112.90243
## 18       136.04056        25368.17       135.30875
## 19       111.41376        29024.34       110.98189
## 20        82.44847        29327.71        82.21411
## 21        75.17471        31129.27        74.99003
## 22       110.29899        25176.08       109.80804
## 23        76.40021        31693.85        76.21494
## 24        94.33011        27297.02        93.99746
## 25        60.42776        25323.22        60.28111
## 26        86.66289        20497.33        86.29579
## 27       115.11700        15575.88       114.26552
## 28        53.16688        57618.60        53.11710
## 29        44.82219        66741.65        44.79150
## 30        88.17425        38943.92        87.97324
## 31        84.85586        60542.16        84.73463
## 32        41.16572        64451.87        41.13922
## 33        34.31957        62458.37        34.30017
## 34        40.28553        70922.64        40.26238
## 35       135.43797        15472.52       134.24738
## 36        46.64461        63179.13        46.60997
## 37       111.79449        27654.02       111.34039
## 38       115.61941        14673.56       114.70762
  6. Resampling 50%
      res_1sc_0.5
##    kab    Y dir     Y syn     Y com  MSE dir   MSE syn  MSE com
## 1    1 113907.8 111726.27 112283.23  8717251   3918291  2524733
## 2   10 241477.0 246170.72 244890.54 24388779  10232366  6622293
## 3   11 142582.2 150303.29 143954.67 10476229  50831606  8551929
## 4   12 158563.4 144982.34 157402.94 15710842 169215037 14347238
## 5   13 172060.4 175018.24 173978.07 16573695   9497335  5802966
## 6   14 217533.2 210989.52 213513.58 33418170  22952251 12629905
## 7   15 231665.8 226783.12 228750.73 33342537  25667225 12872834
## 8   16 157057.0 155080.11 155598.14 13801797   8127544  4760299
## 9   17 176064.0 183021.57 178605.38 17152244  32226928 10340083
## 10  18 159042.2 166837.14 160452.18 10488447  52019646  8333879
## 11  19 142507.2 121383.93 141789.50 15116645 432285029 14584940
## 12   2 143641.8 143667.54 143666.87  9125392   8552724  4405351
## 13  20 129744.0 122626.68 128540.55  8412391  43611978  6883555
## 14  21 155138.0 145874.91 153031.62 18845098  68871697 14086788
## 15  22 190358.6 190365.83 190354.74 24896365  24192939 12259804
## 16  23 175814.4 180587.81 178552.16 20980634  16461286  8255394
## 17  24 174640.6 177365.25 176442.54 25182792  16550363  9550161
## 18  25 171080.8 173737.87 173165.08 29766390  18469183 10237406
## 19  26 138397.8 152856.99 139801.87 19366298 195389747 17228630
## 20  27 143716.8 151601.49 145505.32 13971628  48591350 10694578
## 21  28 143641.6 141947.78 142540.55 12007602   8419319  4757781
## 22  29 175103.4 175423.52 175263.99 22923651  22805470 11432159
## 23   3 143413.8 141878.38 142368.89 13405935   9772510  5407828
## 24   4 159920.0 161319.48 160717.38 20014139  17311229  9218141
## 25   5 171483.4 174541.82 173532.40 14959313   9271200  5023870
## 26   6 221289.8 214785.79 218396.75 22268352  29657683 11090950
## 27   7 282816.4 284105.99 283583.21 42041524  37208536 19559474
## 28  71  82320.2  76645.92  81424.92  4502617  30591222  3556847
## 29  72  56502.4  66333.56  56826.17  3150978  93927889  3041622
## 30  73 134256.8 116809.43 133320.03 15943107 294659689 15031560
## 31  74  78680.0  72626.40  77272.56  8481580  28351376  6475760
## 32  75  62560.0  68380.91  63192.49  3344154  33327567  2890520
## 33  76  57840.0  72298.17  58021.77  2627943 207088344  2594028
## 34  77  61608.4  63294.80  62338.13  2852508   3361140  1376904
## 35  78 275134.2 287216.49 279440.77 49526635 101596532 29532918
## 36  79  65947.0  69766.46  67032.71  4044496  10946822  2814765
## 37   8 159281.6 158868.55 159060.79 21726878  20574436 10561390
## 38   9 309248.6 298816.52 304798.81 46369056  62847861 26411352
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         76.54833        35.04214        22.47097
## 2        101.00767        41.57272        27.07811
## 3         73.49470       337.36305        59.42808
## 4         99.09476      1167.64790        91.16507
## 5         96.28595        54.22969        33.34086
## 6        153.52464       108.82914        59.03068
## 7        144.06951       113.33139        56.25816
## 8         87.89356        52.45150        30.61265
## 9         97.41515       175.77079        57.96048
## 10        65.94059       311.27442        51.97281
## 11       106.09375      3562.33477       102.89354
## 12        63.52780        59.52688        30.65936
## 13        64.83134       356.58571        53.54768
## 14       121.51768       472.25510        91.95640
## 15       130.77582       127.05134        64.39499
## 16       119.28821        90.97370        46.29926
## 17       144.20558        93.43765        54.18268
## 18       174.24196       106.15015        59.07931
## 19       139.76481      1279.34497       123.22992
## 20        97.20702       320.35104        73.49379
## 21        83.57939        59.24046        33.34691
## 22       130.91045       129.99564        65.22536
## 23        93.47642        68.70245        37.92491
## 24       125.13317       107.39655        57.37322
## 25        87.16677        53.10235        28.98781
## 26       100.55761       137.75698        50.49326
## 27       148.65778       130.97325        68.96378
## 28        54.72042       399.20616        43.48728
## 29        55.75816      1415.38949        53.50968
## 30       118.80400      2526.40894       112.77655
## 31       107.79842       390.83519        83.80854
## 32        53.42789       486.92483        45.81432
## 33        45.43470      2861.02393        44.70413
## 34        46.33829        53.04248        22.15785
## 35       179.95812       355.97083       106.58544
## 36        61.33572       156.70676        42.04308
## 37       136.42256       129.47607        66.39614
## 38       149.94792       210.32436        86.64447
      res_1sc2_0.5
##    kab    Y dir     Y syn     Y com  MSE dir    MSE syn  MSE com
## 1    1 113907.8 111726.27 113902.58  8717251 3695179685  8696473
## 2   10 241477.0 246170.72 241507.70 24388779 3695808509 24227091
## 3   11 142582.2 150303.29 142604.39 10476229 3697112215 10445799
## 4   12 158563.4 144982.34 158506.04 15710842 3701374906 15643844
## 5   13 172060.4 175018.24 172073.54 16573695 3695332694 16497206
## 6   14 217533.2 210989.52 217473.16 33418170 3696637934 33111410
## 7   15 231665.8 226783.12 231622.73 33342537 3696132360 33038548
## 8   16 157057.0 155080.11 157049.48 13801797 3695194238 13749770
## 9   17 176064.0 183021.57 176095.99 17152244 3696700882 17072179
## 10  18 159042.2 166837.14 159064.11 10488447 3697153603 10458438
## 11  19 142507.2 121383.93 142421.41 15116645 3710425795 15053358
## 12   2 143641.8 143667.54 143641.92  9125392 3695017899  9102569
## 13  20 129744.0 122626.68 129727.70  8412391 3696792095  8392455
## 14  21 155138.0 145874.91 155091.38 18845098 3698022868 18747793
## 15  22 190358.6 190365.83 190358.85 24896365 3695022408 24728624
## 16  23 175814.4 180587.81 175840.88 20980634 3695895768 20859797
## 17  24 174640.6 177365.25 174659.23 25182792 3695295821 25009771
## 18  25 171080.8 173737.87 171103.15 29766390 3695422865 29525092
## 19  26 138397.8 152856.99 138471.93 19366298 3702403532 19264291
## 20  27 143716.8 151601.49 143746.37 13971628 3697155495 13918383
## 21  28 143641.6 141947.78 143636.05 12007602 3695121885 11967727
## 22  29 175103.4 175423.52 175105.39 22923651 3695002227 22780468
## 23   3 143413.8 141878.38 143408.32 13405935 3695123442 13356511
## 24   4 159920.0 161319.48 159927.14 20014139 3695091355 19903332
## 25   5 171483.4 174541.82 171495.33 14959313 3695396042 14898027
## 26   6 221289.8 214785.79 221249.79 22268352 3696632203 22130601
## 27   7 282816.4 284105.99 282830.53 42041524 3695164806 41565148
## 28  71  82320.2  76645.92  82313.33  4502617 3696208284  4497007
## 29  72  56502.4  66333.56  56510.72  3150978 3698345699  3148228
## 30  73 134256.8 116809.43 134181.95 15943107 3705708593 15873908
## 31  74  78680.0  72626.40  78666.14  8481580 3696268253  8461986
## 32  75  62560.0  68380.91  62565.19  3344154 3696262694  3341060
## 33  76  57840.0  72298.17  57850.30  2627943 3702229748  2626019
## 34  77  61608.4  63294.80  61609.67  2852508 3695157584  2850138
## 35  78 275134.2 287216.49 275292.76 49526635 3700209295 48866970
## 36  79  65947.0  69766.46  65951.21  4044496 3695515093  4039963
## 37   8 159281.6 158868.55 159279.49 21726878 3695037891 21597426
## 38   9 309248.6 298816.52 309119.13 46369056 3698764252 45789624
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         76.54833        33076.13        76.36942
## 2        101.00767        15013.59       100.32508
## 3         73.49470        24600.18        73.26930
## 4         99.09476        25531.66        98.70814
## 5         96.28595        21114.39        95.83422
## 6        153.52464        17520.38       152.15959
## 7        144.06951        16297.85       142.78174
## 8         87.89356        23828.11        87.56651
## 9         97.41515        20198.13        96.94275
## 10        65.94059        22161.40        65.74285
## 11       106.09375        30566.98       105.71509
## 12        63.52780        25719.52        63.36883
## 13        64.83134        30149.56        64.68626
## 14       121.51768        25350.21       120.92670
## 15       130.77582        19411.32       129.89450
## 16       119.28821        20467.93       118.58344
## 17       144.20558        20835.21       143.19907
## 18       174.24196        21270.84       172.80333
## 19       139.76481        24222.08       138.95533
## 20        97.20702        24388.08        96.81650
## 21        83.57939        26032.52        83.30522
## 22       130.91045        21064.04       130.09131
## 23        93.47642        26044.13        93.13537
## 24       125.13317        22905.10       124.43503
## 25        87.16677        21171.56        86.80404
## 26       100.55761        17211.32        99.95511
## 27       148.65778        13005.82       146.96587
## 28        54.72042        48226.73        54.65686
## 29        55.75816        55759.61        55.70115
## 30       118.80400        31724.62       118.35502
## 31       107.79842        50899.74       107.56849
## 32        53.42789        54059.50        53.37401
## 33        45.43470        51219.28        45.39307
## 34        46.33829        58382.05        46.29871
## 35       179.95812        12883.38       177.45931
## 36        61.33572        52975.88        61.26294
## 37       136.42256        23259.26       135.61133
## 38       149.94792        12378.18       148.13694
  1. with weight
    1. Resampling 100%
      ress_1sc_1
##    kab  Y dir    Y syn  Y com MSE dir      MSE syn MSE com Relatif MSE dir
## 1    1 226801 222986.8 226801       0 1.454819e+07       0               0
## 2   10 481671 491371.2 481671       0 9.409479e+07       0               0
## 3   11 284635 300358.1 284635       0 2.472163e+08       0               0
## 4   12 316410 289505.1 316410       0 7.238717e+08       0               0
## 5   13 343206 349175.9 343206       0 3.563970e+07       0               0
## 6   14 434778 420501.9 434778       0 2.038059e+08       0               0
## 7   15 461280 450573.8 461280       0 1.146229e+08       0               0
## 8   16 314028 309741.7 314028       0 1.837214e+07       0               0
## 9   17 351541 365175.3 351541       0 1.858928e+08       0               0
## 10  18 317206 333449.3 317206       0 2.638447e+08       0               0
## 11  19 285390 241795.8 285390       0 1.900454e+09       0               0
## 12   2 286903 287012.9 286903       0 1.208006e+04       0               0
## 13  20 258840 245472.0 258840       0 1.787042e+08       0               0
## 14  21 308461 290790.1 308461       0 3.122619e+08       0               0
## 15  22 379756 380949.8 379756       0 1.425268e+06       0               0
## 16  23 350703 360940.2 350703       0 1.048012e+08       0               0
## 17  24 349030 354571.2 349030       0 3.070515e+07       0               0
## 18  25 340725 346014.6 340725       0 2.797959e+07       0               0
## 19  26 278631 305628.1 278631       0 7.288427e+08       0               0
## 20  27 287661 302653.5 287661       0 2.247761e+08       0               0
## 21  28 286903 283530.1 286903       0 1.137645e+07       0               0
## 22  29 349733 350486.5 349733       0 5.678016e+05       0               0
## 23   3 285390 281784.1 285390       0 1.300264e+07       0               0
## 24   4 319600 321717.8 319600       0 4.485242e+06       0               0
## 25   5 341551 347863.8 341551       0 3.985086e+07       0               0
## 26   6 441330 428562.5 441330       0 1.630078e+08       0               0
## 27   7 561270 564932.5 561270       0 1.341375e+07       0               0
## 28  71 163306 152747.8 163306       0 1.114753e+08       0               0
## 29  72 113050 132366.7 113050       0 3.731344e+08       0               0
## 30  73 266815 231109.6 266815       0 1.274876e+09       0               0
## 31  74 157080 145013.1 157080       0 1.456100e+08       0               0
## 32  75 123753 136477.7 123753       0 1.619178e+08       0               0
## 33  76 115440 144147.8 115440       0 8.241364e+08       0               0
## 34  77 121771 125802.1 121771       0 1.625002e+07       0               0
## 35  78 542361 567311.8 542361       0 6.225448e+08       0               0
## 36  79 132355 139290.8 132355       0 4.810515e+07       0               0
## 37   8 318003 317330.1 318003       0 4.527983e+05       0               0
## 38   9 617716 595940.7 617716       0 4.741638e+08       0               0
##    Relatif MSE syn Relatif MSE com
## 1     6.524240e+01               0
## 2     1.914943e+02               0
## 3     8.230718e+02               0
## 4     2.500376e+03               0
## 5     1.020681e+02               0
## 6     4.846729e+02               0
## 7     2.543931e+02               0
## 8     5.931437e+01               0
## 9     5.090509e+02               0
## 10    7.912589e+02               0
## 11    7.859749e+03               0
## 12    4.208892e-02               0
## 13    7.280026e+02               0
## 14    1.073840e+03               0
## 15    3.741353e+00               0
## 16    2.903562e+02               0
## 17    8.659796e+01               0
## 18    8.086247e+01               0
## 19    2.384737e+03               0
## 20    7.426846e+02               0
## 21    4.012433e+01               0
## 22    1.620038e+00               0
## 23    4.614397e+01               0
## 24    1.394154e+01               0
## 25    1.145588e+02               0
## 26    3.803595e+02               0
## 27    2.374400e+01               0
## 28    7.298000e+02               0
## 29    2.818945e+03               0
## 30    5.516329e+03               0
## 31    1.004116e+03               0
## 32    1.186405e+03               0
## 33    5.717302e+03               0
## 34    1.291712e+02               0
## 35    1.097359e+03               0
## 36    3.453577e+02               0
## 37    1.426900e+00               0
## 38    7.956560e+02               0
      ress_1sc2_1
##    kab  Y dir    Y syn  Y com MSE dir     MSE syn MSE com Relatif MSE dir
## 1    1 226801 222986.8 226801       0 14599353633       0               0
## 2   10 481671 491371.2 481671       0 14602096619       0               0
## 3   11 284635 300358.1 284635       0 14607376670       0               0
## 4   12 316410 289505.1 316410       0 14623813064       0               0
## 5   13 343206 349175.9 343206       0 14600080926       0               0
## 6   14 434778 420501.9 434778       0 14605879761       0               0
## 7   15 461280 450573.8 461280       0 14602804483       0               0
## 8   16 314028 309741.7 314028       0 14599485493       0               0
## 9   17 351541 365175.3 351541       0 14605262067       0               0
## 10  18 317206 333449.3 317206       0 14607950065       0               0
## 11  19 285390 241795.8 285390       0 14664384875       0               0
## 12   2 286903 287012.9 286903       0 14598852388       0               0
## 13  20 258840 245472.0 258840       0 14605014186       0               0
## 14  21 308461 290790.1 308461       0 14609619622       0               0
## 15  22 379756 380949.8 379756       0 14598901118       0               0
## 16  23 350703 360940.2 350703       0 14602465807       0               0
## 17  24 349030 354571.2 349030       0 14599910769       0               0
## 18  25 340725 346014.6 340725       0 14599816785       0               0
## 19  26 278631 305628.1 278631       0 14623984478       0               0
## 20  27 287661 302653.5 287661       0 14606602872       0               0
## 21  28 286903 283530.1 286903       0 14599244263       0               0
## 22  29 349733 350486.5 349733       0 14598871550       0               0
## 23   3 285390 281784.1 285390       0 14599300338       0               0
## 24   4 319600 321717.8 319600       0 14599006635       0               0
## 25   5 341551 347863.8 341551       0 14600226139       0               0
## 26   6 441330 428562.5 441330       0 14604472931       0               0
## 27   7 561270 564932.5 561270       0 14599314514       0               0
## 28  71 163306 152747.8 163306       0 14602695949       0               0
## 29  72 113050 132366.7 113050       0 14611718676       0               0
## 30  73 266815 231109.6 266815       0 14642813228       0               0
## 31  74 157080 145013.1 157080       0 14603873006       0               0
## 32  75 123753 136477.7 123753       0 14604435342       0               0
## 33  76 115440 144147.8 115440       0 14627270468       0               0
## 34  77 121771 125802.1 121771       0 14599412316       0               0
## 35  78 542361 567311.8 542361       0 14620319033       0               0
## 36  79 132355 139290.8 132355       0 14600510769       0               0
## 37   8 318003 317330.1 318003       0 14598867585       0               0
## 38   9 617716 595940.7 617716       0 14615202446       0               0
##    Relatif MSE syn Relatif MSE com
## 1         65471.83               0
## 2         29717.04               0
## 3         48633.20               0
## 4         50513.14               0
## 5         41812.97               0
## 6         34734.39               0
## 7         32409.35               0
## 8         47134.38               0
## 9         39995.21               0
## 10        43808.61               0
## 11        60647.81               0
## 12        50864.79               0
## 13        59497.69               0
## 14        50241.12               0
## 15        38322.37               0
## 16        40456.74               0
## 17        41176.24               0
## 18        42194.23               0
## 19        47848.95               0
## 20        48261.79               0
## 21        51490.99               0
## 22        41653.16               0
## 23        51810.24               0
## 24        45378.29               0
## 25        41971.10               0
## 26        34077.81               0
## 27        25842.58               0
## 28        95600.03               0
## 29       110388.19               0
## 30        63358.74               0
## 31       100707.27               0
## 32       107009.69               0
## 33       101474.13               0
## 34       116050.60               0
## 35        25771.22               0
## 36       104820.36               0
## 37        46005.30               0
## 38        24524.59               0
  2. Resampling 90%
      ress_1sc_0.9
##    kab    Y dir    Y syn    Y com  MSE dir    MSE syn    MSE com
## 1    1 202742.9 220561.3 224642.1  2896549   19613373  2491406.8
## 2   10 433848.4 488197.7 483604.6  9293068   29329270  6824762.4
## 3   11 253275.2 297629.0 281671.8  4104925  260734536  4039455.5
## 4   12 285047.7 288150.4 316524.5  5567810  811237346  5529596.8
## 5   13 304140.3 343648.1 338995.8  5982514   27068003  4830374.5
## 6   14 387627.0 417610.0 429728.1 12550986  160444041 11603140.6
## 7   15 414338.9 448267.5 459405.0 11538425  137991418 10576023.8
## 8   16 282903.3 306742.3 313710.7  4724879   53429906  4329624.9
## 9   17 311251.1 361950.3 346204.7  5959340  253967686  5821593.3
## 10  18 285445.8 331062.0 317437.8  3819672  189986299  3743174.7
## 11  19 253650.2 238755.6 281715.0  5107239 1850761547  5093104.1
## 12   2 255229.4 283591.2 283590.7  3546116    3318609  1712347.7
## 13  20 227413.3 243629.4 252354.5  2944371   79477447  2836362.6
## 14  21 277258.3 287957.2 307784.7  5633829  399112575  5554903.2
## 15  22 339909.6 376462.1 376939.9  9179344    7103462  3944719.0
## 16  23 310669.7 359453.4 345695.6  7177815  197910795  6918311.7
## 17  24 309092.8 350057.1 344776.0  8776320   35703123  6965830.6
## 18  25 301844.0 342851.4 336727.3  9648618   48263217  7756121.2
## 19  26 247235.1 301990.6 274957.9  6866347  738517671  6802421.9
## 20  27 255983.0 300657.7 284743.7  5160873  258653275  5059349.7
## 21  28 255078.7 279783.8 282157.8  4571648    9230490  2850124.1
## 22  29 309802.2 344973.0 344613.8  8287884    7703859  3991583.7
## 23   3 253875.7 278607.9 280599.8  4878761    7911113  2550076.5
## 24   4 287680.0 318735.3 319153.1  7053811    6156325  3282511.6
## 25   5 302826.8 344882.1 337074.0  4937735   67282378  4569855.9
## 26   6 393964.7 425380.9 437038.1  8564663  145915072  8069096.7
## 27   7 502340.0 560265.7 559528.4 14386731    9646669  5666384.7
## 28  71 147635.4 150879.7 163896.9  1860017  172639326  1839503.1
## 29  72 100725.3 130583.3 111975.4  1089293  347458172  1085865.3
## 30  73 237766.2 226265.8 264044.1  5328707 1434377711  5308903.2
## 31  74 139166.7 143385.4 154372.1  2889981  123681115  2823189.8
## 32  75 107557.4 134831.0 119576.6  1042327  234545700  1037629.7
## 33  76 102961.1 142830.1 114434.2   935502  807560767   934412.3
## 34  77 106436.2 122329.3 118550.9  1071555   17085685   981126.0
## 35  78 479480.1 559121.7 533377.1 16265513  682617823 15874912.4
## 36  79 115064.4 137629.9 127996.6  1438460   94373742  1416761.3
## 37   8 286162.9 314840.3 315701.3  7311009    2930032  1894844.1
## 38   9 547253.8 589543.7 607148.0 16844535  326588599 16010296.0
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1        14.288052       88.944640       11.090807
## 2        21.419807       60.096177       14.117308
## 3        16.207530      875.614857       14.341223
## 4        19.533320     2815.630508       17.470118
## 5        19.668846       78.743833       14.249644
## 6        32.381089      384.128931       27.001381
## 7        27.847582      307.696455       23.017856
## 8        16.701246      174.153811       13.800632
## 9        19.146407      701.613086       16.815385
## 10       13.381463      573.819934       11.791901
## 11       20.134755     7751.800358       18.078769
## 12       13.893845       11.702425        6.038178
## 13       12.946960      326.312324       11.239381
## 14       20.318131     1386.058263       18.046635
## 15       27.004996       18.867757       10.465650
## 16       23.104742      550.348267       20.013209
## 17       28.393459      101.932343       20.204544
## 18       31.962946      140.709546       23.042633
## 19       27.770355     2445.405665       24.737955
## 20       20.161583      860.240130       17.768568
## 21       17.922280       33.024559       10.098965
## 22       26.751680       22.332010       11.582699
## 23       19.217092       28.437195        9.079668
## 24       24.519859       19.314207       10.285059
## 25       16.306158      195.059606       13.559124
## 26       21.739759      342.873454       18.462264
## 27       28.639688       17.220035       10.126880
## 28       12.600390     1144.174807       11.224907
## 29       10.814333     2660.631441        9.697190
## 30       22.410720     6341.601803       20.105396
## 31       20.766329      862.737168       18.288360
## 32        9.691321     1739.651339        8.677953
## 33        9.085974     5653.255465        8.165491
## 34       10.068042      139.401231        8.280090
## 35       33.918428     1222.063189       29.760055
## 36       12.501863      685.600330       11.069210
## 37       25.548795        9.309839        5.998490
## 38       30.779853      554.013700       26.369457
      ress_1sc2_0.9
##    kab    Y dir    Y syn    Y com  MSE dir     MSE syn  MSE com
## 1    1 202742.9 220561.3 225268.9  2896549 14374669032  2895963
## 2   10 433848.4 488197.7 482057.8  9293068 14375224633  9287060
## 3   11 253275.2 297629.0 281421.5  4104925 14383025223  4103752
## 4   12 285047.7 288150.4 316708.6  5567810 14402058523  5565653
## 5   13 304140.3 343648.1 337936.1  5982514 14375032501  5980018
## 6   14 387627.0 417610.0 430685.3 12550986 14379858174 12540031
## 7   15 414338.9 448267.5 460366.8 11538425 14379049030 11529164
## 8   16 282903.3 306742.3 314334.5  4724879 14375898166  4723323
## 9   17 311251.1 361950.3 345841.2  5959340 14382855829  5956861
## 10  18 285445.8 331062.0 317165.7  3819672 14380575793  3818656
## 11  19 253650.2 238755.6 281818.4  5107239 14437888303  5105425
## 12   2 255229.4 283591.2 283588.3  3546116 14373900673  3545239
## 13  20 227413.3 243629.4 252679.6  2944371 14376734960  2943765
## 14  21 277258.3 287957.2 308056.9  5633829 14387849601  5631608
## 15  22 339909.6 376462.1 377676.5  9179344 14373964410  9173475
## 16  23 310669.7 359453.4 345195.6  7177815 14380964849  7174227
## 17  24 309092.8 350057.1 343440.5  8776320 14375426602  8770951
## 18  25 301844.0 342851.4 335387.2  9648618 14375889788  9642135
## 19  26 247235.1 301990.6 274718.7  6866347 14399595725  6863070
## 20  27 255983.0 300657.7 284431.4  5160873 14382989868  5159016
## 21  28 255078.7 279783.8 283419.6  4571648 14374364758  4570191
## 22  29 309802.2 344973.0 344225.1  8287884 14373912967  8283097
## 23   3 253875.7 278607.9 282082.9  4878761 14374333858  4877101
## 24   4 287680.0 318735.3 319644.0  7053811 14373923776  7050348
## 25   5 302826.8 344882.1 336477.1  4937735 14376383177  4936037
## 26   6 393964.7 425380.9 437731.2  8564663 14379219716  8559562
## 27   7 502340.0 560265.7 558157.7 14386731 14374135090 14372336
## 28  71 147635.4 150879.7 164037.7  1860017 14379910047  1859776
## 29  72 100725.3 130583.3 111918.4  1089293 14385911706  1089210
## 30  73 237766.2 226265.8 264170.7  5328707 14423537877  5326736
## 31  74 139166.7 143385.4 154627.4  2889981 14378257349  2889398
## 32  75 107557.4 134831.0 119509.4  1042327 14382016553  1042251
## 33  76 102961.1 142830.1 114403.1   935502 14401772010   935441
## 34  77 106436.2 122329.3 118262.8  1071555 14374518940  1071475
## 35  78 479480.1 559121.7 532785.4 16265513 14397992253 16247111
## 36  79 115064.4 137629.9 127850.4  1438460 14377196697  1438316
## 37   8 286162.9 314840.3 317957.2  7311009 14374233396  7307290
## 38   9 547253.8 589543.7 608038.1 16844535 14385735350 16824824
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1        14.288052        65173.93       12.856700
## 2        21.419807        29445.51       19.265205
## 3        16.207530        48326.33       14.582366
## 4        19.533320        49981.83       17.573790
## 5        19.668846        41830.62       17.694453
## 6        32.381089        34433.83       29.118311
## 7        27.847582        32077.10       25.043239
## 8        16.701246        46866.66       15.026293
## 9        19.146407        39737.03       17.224262
## 10       13.381463        43437.82       12.039973
## 11       20.134755        60471.46       18.115826
## 12       13.893845        50685.45       12.501369
## 13       12.946960        59011.29       11.649951
## 14       20.318131        49965.16       18.279581
## 15       27.004996        38181.79       24.289007
## 16       23.104742        40008.85       20.783443
## 17       28.393459        41066.60       25.538177
## 18       31.962946        41931.02       28.746896
## 19       27.770355        47682.24       24.980212
## 20       20.161583        47838.62       18.138521
## 21       17.922280        51376.55       16.124977
## 22       26.751680        41667.03       24.062576
## 23       19.217092        51593.19       17.289572
## 24       24.519859        45096.68       22.057069
## 25       16.306158        41684.74       14.670366
## 26       21.739759        33803.02       19.554460
## 27       28.639688        25655.83       25.749831
## 28       12.600390        95308.53       11.339000
## 29       10.814333       110168.58        9.732037
## 30       22.410720        63747.05       20.163259
## 31       20.766329       100278.86       18.686198
## 32        9.691321       106669.48        8.721474
## 33        9.085974       100834.80        8.176711
## 34       10.068042       117508.93        9.060537
## 35       33.918428        25751.41       30.490351
## 36       12.501863       104464.80       11.250464
## 37       25.548795        45655.89       22.982335
## 38       30.779853        24401.34       27.670436
  3. Resampling 80%
      ress_1sc_0.8
##    kab     Y dir    Y syn    Y com  MSE dir    MSE syn  MSE com
## 1    1 179158.62 219112.8 222792.5  5322159   19126122  3908188
## 2   10 384749.25 488907.8 483031.5 16477656   47957360 12019941
## 3   11 221861.50 295773.0 277704.9  6957809  334720925  6813846
## 4   12 252889.62 286046.9 315761.1 10550147  894283788 10426580
## 5   13 273489.25 341725.7 341700.7 11208944    9282785  4978351
## 6   14 341604.75 417010.9 424697.8 21881568   82477510 16204837
## 7   15 369128.88 450568.4 459343.6 20243316  109898983 15532664
## 8   16 251619.62 307652.1 313189.5  8921334   39845985  7089153
## 9   17 279725.62 362626.5 350562.3 11713645  156905648 10888206
## 10  18 253765.00 329998.3 317731.7  6711901  157341648  6435150
## 11  19 222606.50 238479.1 278042.9  8555933 1574146529  8508993
## 12   2 223652.12 281720.3 281240.0  6161111    2240020  1514246
## 13  20 202920.00 242270.1 253185.3  5285092  124398961  5067072
## 14  21 246297.75 286419.1 307374.0 10665525  450194688 10415469
## 15  22 300069.88 376082.7 375669.4 16023132   13741030  7337910
## 16  23 279225.12 357966.0 350495.4 12857730   68525102 10677210
## 17  24 277639.00 353472.0 349525.5 15693841   26264123  9484108
## 18  25 272666.75 346517.6 343540.4 18190288   21130602  8894269
## 19  26 216606.38 300519.0 271165.3 12089974  875713788 11922663
## 20  27 224175.75 297477.1 280763.9  9384909  289024570  9085383
## 21  28 223502.62 278630.8 278852.8  8103627    6580727  3500767
## 22  29 277892.25 348046.4 347712.6 14900557   14400959  7322570
## 23   3 222457.62 276276.7 276753.9  8190352    4509702  2686799
## 24   4 255920.00 318620.2 319194.1 12672186   10781861  5809315
## 25   5 272332.75 343066.3 342325.8  8573372    4065564  2390683
## 26   6 346241.12 423623.8 431158.5 14810349   70665364 12039328
## 27   7 444156.62 560285.2 558739.2 25925417   13179687  7723208
## 28  71 130077.38 150545.0 162339.7  3077105  144328942  3010390
## 29  72  88595.50 129853.3 110846.5  1952580  363696012  1942117
## 30  73 208225.50 225015.0 260031.1  8845466 1236248932  8782532
## 31  74 121275.00 142784.6 151022.1  5018921   72763438  4688590
## 32  75  96580.75 134398.7 120860.9  1837925  185559098  1819479
## 33  76  90487.50 140598.5 113170.3  1670692  754546186  1666927
## 34  77  94967.62 122123.3 119357.5  1956878   10969900  1480838
## 35  78 428702.88 560019.1 537068.2 28614720  556497416 27192143
## 36  79 102870.50 136907.7 128909.2  2660601   66802206  2556823
## 37   8 254482.38 314181.4 315252.2 13135237    5132261  3375556
## 38   9 487526.50 589861.0 607893.5 29539233  353324350 27236040
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         29.70201       87.391788       17.529680
## 2         42.82857       98.111837       24.892037
## 3         31.36497     1131.473695       24.539321
## 4         41.71476     3126.641454       33.017698
## 5         40.98667       27.150298       14.566610
## 6         64.06263      197.810672       38.119186
## 7         54.84136      243.547431       33.754418
## 8         35.45519      129.565458       22.627740
## 9         41.87533      432.646262       31.059025
## 10        26.44928      476.747469       20.253466
## 11        38.43832     6600.849009       30.605915
## 12        27.54715        7.953235        5.386075
## 13        26.04441      513.540173       20.013020
## 14        43.30539     1571.730283       33.886989
## 15        53.39785       36.536687       19.530829
## 16        46.05130      191.365701       30.471328
## 17        56.52478       74.240547       27.138930
## 18        66.71290       61.015767       25.936062
## 19        55.81344     2914.061759       43.966735
## 20        41.86774      971.465366       32.361783
## 21        36.25790       23.596550       12.545027
## 22        53.61898       41.376251       21.058953
## 23        36.81867       16.308103        9.699578
## 24        49.51687       33.837824       18.200286
## 25        31.48164       11.853463        6.991899
## 26        42.78020      166.724987       27.918753
## 27        58.37256       23.532894       13.842666
## 28        23.63938      958.431479       18.530191
## 29        22.04345     2800.406309       17.524064
## 30        42.47486     5495.156153       33.770690
## 31        41.38463      509.769672       31.046530
## 32        19.02638     1380.698457       15.051515
## 33        18.46323     5365.245509       14.729265
## 34        20.61227       89.807044       12.438718
## 35        66.75133      994.199795       50.635982
## 36        25.86461      487.852209       19.835150
## 37        51.61875       16.340664       10.699007
## 38        60.58973      599.041167       44.803678
      ress_1sc2_0.8
##    kab     Y dir    Y syn    Y com  MSE dir     MSE syn  MSE com
## 1    1 179158.62 219112.8 223946.5  5322159 14496169196  5320192
## 2   10 384749.25 488907.8 480945.6 16477656 14497548049 16458874
## 3   11 221861.50 295773.0 277335.7  6957809 14507108177  6954451
## 4   12 252889.62 286046.9 316090.2 10550147 14526527322 10542462
## 5   13 273489.25 341725.7 341861.5 11208944 14495392571 11200263
## 6   14 341604.75 417010.9 426990.9 21881568 14498924741 21848482
## 7   15 369128.88 450568.4 461396.0 20243316 14499813817 20214992
## 8   16 251619.62 307652.1 314520.3  8921334 14497007783  8915820
## 9   17 279725.62 362626.5 349667.5 11713645 14501140610 11704147
## 10  18 253765.00 329998.3 317212.2  6711901 14500983171  6708789
## 11  19 222606.50 238479.1 278234.8  8555933 14549902099  8550845
## 12   2 223652.12 281720.3 279566.1  6161111 14495498362  6158460
## 13  20 202920.00 242270.1 253645.8  5285092 14499798016  5283147
## 14  21 246297.75 286419.1 307856.4 10665525 14511217883 10657658
## 15  22 300069.88 376082.7 375088.4 16023132 14495404845 16005424
## 16  23 279225.12 357966.0 349039.4 12857730 14498132456 12846303
## 17  24 277639.00 353472.0 347055.7 15693841 14496772978 15676831
## 18  25 272666.75 346517.6 340840.6 18190288 14496544977 18167453
## 19  26 216606.38 300519.0 270782.7 12089974 14525940075 12079870
## 20  27 224175.75 297477.1 280230.9  9384909 14505616134  9378775
## 21  28 223502.62 278630.8 279377.9  8103627 14495384807  8099068
## 22  29 277892.25 348046.4 347366.0 14900557 14495343379 14885202
## 23   3 222457.62 276276.7 278071.0  8190352 14495456683  8185698
## 24   4 255920.00 318620.2 319898.9 12672186 14495391335 12661093
## 25   5 272332.75 343066.3 340417.5  8573372 14495599103  8568276
## 26   6 346241.12 423623.8 432792.1 14810349 14498273590 14795150
## 27   7 444156.62 560285.2 555204.9 25925417 14496308813 25879006
## 28  71 130077.38 150545.0 162594.1  3077105 14500409119  3076444
## 29  72  88595.50 129853.3 110747.0  1952580 14507934724  1952316
## 30  73 208225.50 225015.0 260260.4  8845466 14538260441  8840074
## 31  74 121275.00 142784.6 151590.7  5018921 14498008302  5017172
## 32  75  96580.75 134398.7 120727.7  1837925 14501788118  1837690
## 33  76  90487.50 140598.5 113112.5  1670692 14521402596  1670497
## 34  77  94967.62 122123.3 118710.0  1956878 14495771903  1956612
## 35  78 428702.88 560019.1 535926.1 28614720 14515502432 28558321
## 36  79 102870.50 136907.7 128589.7  2660601 14497721421  2660112
## 37   8 254482.38 314181.4 318099.4 13135237 14495872461 13123287
## 38   9 487526.50 589861.0 609368.4 29539233 14508528344 29479118
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         29.70201        66160.05        23.75302
## 2         42.82857        29652.87        34.22315
## 3         31.36497        49048.74        25.07906
## 4         41.71476        50783.98        33.34981
## 5         40.98667        42418.16        32.76395
## 6         64.06263        34768.50        51.17441
## 7         54.84136        32181.07        43.81314
## 8         35.45519        47121.81        28.34701
## 9         41.87533        39989.03        33.47210
## 10        26.44928        43942.71        21.14922
## 11        38.43832        61011.42        30.73498
## 12        27.54715        51453.98        22.02817
## 13        26.04441        59850.30        20.82821
## 14        43.30539        50664.28        34.62054
## 15        53.39785        38543.25        42.67095
## 16        46.05130        40502.19        36.80745
## 17        56.52478        41012.95        45.16990
## 18        66.71290        41835.18        53.30220
## 19        55.81344        48336.36        44.60934
## 20        41.86774        48762.28        33.47095
## 21        36.25790        52023.92        28.99004
## 22        53.61898        41647.97        42.85089
## 23        36.81867        52467.11        29.43830
## 24        49.51687        45494.17        39.57896
## 25        31.48164        42252.84        25.17022
## 26        42.78020        34224.31        34.18977
## 27        58.37256        25872.93        46.61368
## 28        23.63938        96321.42        18.90775
## 29        22.04345       111728.82        17.63197
## 30        42.47486        64610.83        33.96199
## 31        41.38463       101540.20        33.09684
## 32        19.02638       107904.53        15.21894
## 33        18.46323       103288.14        14.76845
## 34        20.61227       118702.27        16.48750
## 35        66.75133        25919.56        53.29107
## 36        25.86461       105897.03        20.68764
## 37        51.61875        46138.79        41.25789
## 38        60.58973        24596.42        48.37630
  4. Resampling 70%
      ress_1sc_0.7
##    kab     Y dir    Y syn    Y com  MSE dir    MSE syn  MSE com
## 1    1 155045.29 219714.7 220135.7  6954616    3617897  2145215
## 2   10 337514.43 489112.9 485431.0 22431652   28443020 11011174
## 3   11 198529.57 296680.8 284360.3  9672909  162760953  9106627
## 4   12 221606.71 288149.6 316109.1 13432871  796250814 13208039
## 5   13 233785.29 343090.5 335487.6 13542047   70705234 11202236
## 6   14 303089.57 415645.4 431204.1 30265416  274777660 26985477
## 7   15 320262.29 444779.2 455302.7 27144723  141995200 22033199
## 8   16 220494.43 305907.6 313722.4 11524474   71394649  9903286
## 9   17 239706.14 362127.4 343150.7 14021460  374136136 13503723
## 10  18 222483.29 330850.3 318500.2  8569218  162673772  8110664
## 11  19 198378.00 238518.2 283135.8 11728571 2003025158 11659283
## 12   2 199207.14 282841.7 283415.2  8360667    5037639  3028066
## 13  20 178285.71 244117.4 253993.9  7339708  105200099  6840109
## 14  21 216030.29 287989.9 307991.2 12775069  415072524 12374721
## 15  22 261187.86 373871.7 373642.6 21294772   17826892  9482485
## 16  23 238714.86 355736.0 342177.4 16942707  200372256 15597769
## 17  24 237724.29 346131.6 342339.3 19421438   28296359 10399299
## 18  25 232975.00 339588.0 335821.7 22266252   33663509 10773931
## 19  26 194414.00 302212.7 278413.1 16303262  592142843 15830513
## 20  27 200264.71 300427.1 286917.5 11816053  193886558 11125960
## 21  28 199584.57 281403.3 282592.0 11264669    6074806  3268360
## 22  29 238098.00 341032.3 340596.4 18773759   17963671  9179525
## 23   3 198077.29 277814.9 280647.9 11548273   16040567  5939164
## 24   4 224000.00 318734.1 319220.8 16352727   13460822  7261484
## 25   5 232480.29 345587.5 332987.9 11568061  172660282 10787421
## 26   6 307291.29 426363.8 437427.5 19537992  141461897 17067426
## 27   7 385881.14 558087.4 554295.1 33126843   41281316 16046351
## 28  71 114532.71 151677.7 163239.9  4228771  151851107  4078427
## 29  72  76519.00 131687.1 109427.1  2552894  498429150  2539671
## 30  73 185937.86 226192.1 265305.2 12607804 1546647862 12504431
## 31  74 108921.43 144607.7 154969.4  6925858  114381500  6521474
## 32  75  85369.00 135835.4 122146.8  2584289  193984450  2546204
## 33  76  78021.43 142334.8 111533.2  2285941  951645087  2280397
## 34  77  83797.86 123815.7 120293.3  2628376   20766070  1970417
## 35  78 374831.00 560957.5 536997.1 38714974  612301776 36373369
## 36  79  91138.14 138772.1 130604.4  3434729   70911453  3263487
## 37   8 222722.00 315078.1 316000.8 17100765    8590512  5497269
## 38   9 427802.43 590674.9 609292.3 37775363  383036878 34294832
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         44.85426        16.44563        9.732906
## 2         66.46439        58.15313       22.721235
## 3         48.73628       548.43874       32.033967
## 4         60.60581      2763.62430       41.776909
## 5         57.93889       205.94090       33.398363
## 6         99.88496       660.92301       62.590759
## 7         84.75476       319.39770       48.368805
## 8         52.25767       233.36905       31.561444
## 9         58.49315      1033.09152       39.350276
## 10        38.51145       491.59785       25.462306
## 11        59.11861      8398.44572       41.177076
## 12        41.97277        17.81070       10.684432
## 13        41.17064       431.15179       26.932225
## 14        59.13256      1441.18921       40.177808
## 15        81.52177        47.71332       25.388595
## 16        70.97654       563.27457       45.586262
## 17        81.70222        81.59690       30.397872
## 18        95.58263        99.40195       32.246814
## 19        83.84718      1959.55345       56.857102
## 20        59.00525       645.37966       38.778566
## 21        56.43621        21.61207       11.545720
## 22        78.85695        52.68001       26.954121
## 23        58.29237        57.86715       21.143030
## 24        73.00530        42.21273       22.744493
## 25        49.76427       499.61763       32.402572
## 26        63.57202       331.62323       39.006883
## 27        85.84627        74.02856       29.009147
## 28        36.85918       999.32887       24.929644
## 29        33.35265      3784.94244       23.201502
## 30        67.76691      6837.19440       47.104898
## 31        63.58582       791.45511       42.083160
## 32        30.25628      1427.93302       20.836085
## 33        29.29889      6684.25355       20.445758
## 34        31.38108       167.16362       16.468884
## 35       103.28147      1091.95848       67.735104
## 36        37.68895       510.91127       24.990011
## 37        76.78445        27.25148       17.389309
## 38        88.29142       648.51890       56.280523
      ress_1sc2_0.7
##    kab     Y dir    Y syn    Y com  MSE dir     MSE syn  MSE com
## 1    1 155045.29 219714.7 221492.4  6954616 14270982358  6951207
## 2   10 337514.43 489112.9 482174.4 22431652 14272564112 22396115
## 3   11 198529.57 296680.8 283622.5  9672909 14276772732  9666302
## 4   12 221606.71 288149.6 316554.3 13432871 14298746864 13420082
## 5   13 233785.29 343090.5 333987.6 13542047 14273731816 13529068
## 6   14 303089.57 415645.4 432948.7 30265416 14281345464 30200927
## 7   15 320262.29 444779.2 457493.3 27144723 14276659148 27092861
## 8   16 220494.43 305907.6 314984.7 11524474 14273686017 11515097
## 9   17 239706.14 362127.4 342456.6 14021460 14284211482 14007507
## 10  18 222483.29 330850.3 317841.1  8569218 14276731668  8564000
## 11  19 198378.00 238518.2 283360.5 11728571 14340301004 11718842
## 12   2 199207.14 282841.7 284580.6  8360667 14270941324  8355717
## 13  20 178285.71 244117.4 254688.5  7339708 14274707420  7335903
## 14  21 216030.29 287989.9 308596.3 12775069 14285580102 12763390
## 15  22 261187.86 373871.7 373126.6 21294772 14270946319 21262881
## 16  23 238714.86 355736.0 341038.7 16942707 14278320356 16922590
## 17  24 237724.29 346131.6 339614.9 19421438 14272387087 19394976
## 18  25 232975.00 339588.0 332832.0 22266252 14272616475 22231126
## 19  26 194414.00 302212.7 277762.1 16303262 14291807637 16284623
## 20  27 200264.71 300427.1 286104.3 11816053 14277919931 11806159
## 21  28 199584.57 281403.3 285117.9 11264669 14271339035 11255743
## 22  29 238098.00 341032.3 340141.2 18773759 14270854671 18748901
## 23   3 198077.29 277814.9 282963.4 11548273 14271778076 11538836
## 24   4 224000.00 318734.1 319998.6 16352727 14270926458 16333861
## 25   5 232480.29 345587.5 332125.6 11568061 14277179439 11558655
## 26   6 307291.29 426363.8 438970.2 19537992 14276378457 19511009
## 27   7 385881.14 558087.4 551274.5 33126843 14272793021 33050027
## 28  71 114532.71 151677.7 163614.5  4228771 14276208802  4227501
## 29  72  76519.00 131687.1 109316.9  2552894 14288101980  2552432
## 30  73 185937.86 226192.1 265590.8 12607804 14324594174 12596643
## 31  74 108921.43 144607.7 155596.7  6925858 14275009749  6922482
## 32  75  85369.00 135835.4 121958.2  2584289 14277604969  2583816
## 33  76  78021.43 142334.8 111464.1  2285941 14303720910  2285572
## 34  77  83797.86 123815.7 119712.0  2628376 14271608856  2627890
## 35  78 374831.00 560957.5 535541.7 38714974 14293275590 38610075
## 36  79  91138.14 138772.1 130199.4  3434729 14273390398  3433896
## 37   8 222722.00 315078.1 318170.6 17100765 14271186055 17080190
## 38   9 427802.43 590674.9 611092.4 37775363 14285337504 37675087
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         44.85426        64953.62        31.38272
## 2         66.46439        29180.68        46.45029
## 3         48.73628        48122.34        34.09101
## 4         60.60581        49622.95        42.38733
## 5         57.93889        41603.80        40.51729
## 6         99.88496        34359.57        69.77633
## 7         84.75476        32098.54        59.21814
## 8         52.25767        46660.40        36.55148
## 9         58.49315        39445.40        40.90213
## 10        38.51145        43151.91        26.94093
## 11        59.11861        60122.78        41.35414
## 12        41.97277        50455.77        29.36364
## 13        41.17064        58475.63        28.80513
## 14        59.13256        49604.42        41.35747
## 15        81.52177        38171.35        56.97963
## 16        70.97654        40137.88        49.62205
## 17        81.70222        41234.51        57.11214
## 18        95.58263        42030.33        66.80015
## 19        83.84718        47290.56        58.62006
## 20        59.00525        47525.67        41.26736
## 21        56.43621        50715.13        39.47445
## 22        78.85695        41846.61        55.12657
## 23        58.29237        51372.55        40.77193
## 24        73.00530        44773.91        51.04498
## 25        49.76427        41312.86        34.80551
## 26        63.57202        33484.32        44.44074
## 27        85.84627        25574.54        59.95133
## 28        36.85918        94123.71        25.79428
## 29        33.35265       108502.36        23.34177
## 30        67.76691        63333.12        47.40110
## 31        63.58582        98717.28        44.48991
## 32        30.25628       105112.29        21.17508
## 33        29.29889       100495.90        20.50499
## 34        31.38108       115272.44        21.96255
## 35       103.28147        25480.63        72.09187
## 36        37.68895       102856.55        26.37544
## 37        76.78445        45294.41        53.68506
## 38        88.29142        24184.91        61.64542
  5. Resampling 60%
      ress_1sc_0.6
##    kab     Y dir    Y syn    Y com  MSE dir    MSE syn  MSE com
## 1    1 131209.17 217578.0 217974.8  7790370    5997205  3257929
## 2   10 288712.00 490930.1 483856.1 24564277   74335376 16858614
## 3   11 166135.33 293502.9 277514.2 10335000  267808200  9942573
## 4   12 190165.00 285501.4 316444.6 15627389  973834612 15378754
## 5   13 203035.33 338406.5 338423.1 16407864   13553836  7333530
## 6   14 255308.67 413836.9 422230.5 33996993  118271574 21578502
## 7   15 276685.50 447632.6 458619.5 32397899  173937059 24543040
## 8   16 187863.17 306484.5 311054.9 13215098   32638774  8933298
## 9   17 207584.17 362734.7 346897.6 15413602  266493985 14548639
## 10  18 190483.83 329510.6 318342.7  9997570  139339077  9180410
## 11  19 166433.50 237376.1 277044.7 13785927 1588132370 13665849
## 12   2 168001.67 279965.9 280110.2  8648007    6160098  3396893
## 13  20 153940.00 241904.9 256024.3  7933214  207759729  7636170
## 14  21 185474.00 285848.5 308375.5 17090833  531152849 16512066
## 15  22 221108.00 372544.7 371398.0 23178324   11293705  6927133
## 16  23 207752.00 354087.2 348914.4 19480639   46543566 11943560
## 17  24 206421.67 348188.2 347214.0 23409424    9394424  5942973
## 18  25 201641.83 342575.6 339159.1 27431043   38861295 12147664
## 19  26 162738.67 299973.2 271867.1 18112178  821406221 17702057
## 20  27 168300.83 296463.9 281384.1 13878449  243030208 13068612
## 21  28 167253.33 279140.7 278961.5 12571606   11674579  6045985
## 22  29 206618.17 345149.6 344762.5 22795775   22163350 11237264
## 23   3 166656.67 274170.8 275186.3 12732799    5439858  3582999
## 24   4 191680.00 318316.2 318836.0 18081133   16374129  8559357
## 25   5 202051.17 343165.2 338773.1 12210829   37014170  6862501
## 26   6 260126.83 424022.7 431004.3 22536140   74154953 15530117
## 27   7 327930.00 558050.9 549838.3 37742686  121500356 24063881
## 28  71  98569.00 150877.9 163877.1  5251516  185387105  5083808
## 29  72  64312.00 130368.6 107311.9  2883401  536891215  2867238
## 30  73 155092.83 223765.2 258091.9 13679542 1201416827 13520672
## 31  74  91025.00 143557.8 150732.1  7724005   59733488  6710278
## 32  75  73756.67 134872.4 123185.3  3036826  140957948  2968797
## 33  76  65566.67 139437.3 109352.5  2250220  908875810  2244450
## 34  77  71549.67 122526.8 119841.6  2881784   15447471  1784842
## 35  78 323869.33 562269.7 541746.4 43855631  466365131 39926837
## 36  79  78337.50 137560.4 131094.8  3655034   46139055  3363275
## 37   8 190961.50 314227.9 315434.7 21349069   11001943  6594215
## 38   9 369298.17 592888.1 613592.3 42703155  472341441 39009058
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         59.38240        27.53285        14.92975
## 2         85.06906       151.59150        34.89052
## 3         62.21859       911.81591        35.83210
## 4         82.15989      3411.55953        48.58839
## 5         80.81001        40.07413        21.67672
## 6        133.20864       285.49602        50.88901
## 7        117.08111       387.44538        53.34425
## 8         70.31617       106.55272        28.68676
## 9         74.25086       734.63213        41.93859
## 10        52.45862       422.45328        28.82668
## 11        82.83908      6690.55747        49.33246
## 12        51.47694        22.03071        12.13840
## 13        51.53723       859.19343        29.82796
## 14        92.20024      1858.14294        53.57461
## 15       104.82710        30.28391        18.64885
## 16        93.76400       131.23424        34.28749
## 17       113.42121        26.97053        17.12804
## 18       136.04056       113.19721        35.98125
## 19       111.41376      2739.02221        65.18582
## 20        82.44847       819.52350        46.43621
## 21        75.17471        41.82927        21.67575
## 22       110.29899        64.19672        32.58558
## 23        76.40021        19.84180        13.01471
## 24        94.33011        51.42321        26.84158
## 25        60.42776       107.85662        20.35095
## 26        86.66289       174.46171        35.95918
## 27       115.11700       217.79727        43.93937
## 28        53.16688      1226.86569        30.94860
## 29        44.82219      4115.60551        26.71088
## 30        88.17425      5371.98657        52.37034
## 31        84.85586       416.98059        44.52289
## 32        41.16572      1044.64713        24.09592
## 33        34.31957      6513.88824        20.52448
## 34        40.28553       125.80026        15.00327
## 35       135.43797       830.75747        73.72635
## 36        46.64461       335.22432        25.65150
## 37       111.79449        35.00503        20.88304
## 38       115.61941       797.07649        63.56848
      ress_1sc2_0.6
##    kab     Y dir    Y syn    Y com  MSE dir     MSE syn  MSE com
## 1    1 131209.17 217578.0 218681.4  7790370 14481927266  7786146
## 2   10 288712.00 490930.1 481203.0 24564277 14485233528 24522466
## 3   11 166135.33 293502.9 276904.2 10335000 14491414339 10327457
## 4   12 190165.00 285501.4 316907.8 15627389 14515942574 15610462
## 5   13 203035.33 338406.5 338392.2 16407864 14481921609 16388969
## 6   14 255308.67 413836.9 425487.2 33996993 14487069185 33916355
## 7   15 276685.50 447632.6 461112.2 32397899 14488880481 32325435
## 8   16 187863.17 306484.5 313099.1 13215098 14483404363 13202879
## 9   17 207584.17 362734.7 345991.4 15413602 14491544146 15397126
## 10  18 190483.83 329510.6 317481.2  9997570 14486972734  9990557
## 11  19 166433.50 237376.1 277351.2 13785927 14537061757 13772686
## 12   2 168001.67 279965.9 280002.7  8648007 14481911382  8642772
## 13  20 153940.00 241904.9 256558.6  7933214 14489260882  7928834
## 14  21 185474.00 285848.5 309096.1 17090833 14500728149 17070476
## 15  22 221108.00 372544.7 368519.7 23178324 14482445152 23141034
## 16  23 207752.00 354087.2 346263.8 19480639 14484099891 19454299
## 17  24 206421.67 348188.2 344042.9 23409424 14482483127 23371248
## 18  25 201641.83 342575.6 336081.7 27431043 14483696741 27378700
## 19  26 162738.67 299973.2 271267.2 18112178 14510772105 18089325
## 20  27 168300.83 296463.9 280516.6 13878449 14490682114 13864976
## 21  28 167253.33 279140.7 278755.9 12571606 14481854127 12560488
## 22  29 206618.17 345149.6 344364.8 22795775 14481845002 22759214
## 23   3 166656.67 274170.8 277758.0 12732799 14482293863 12721521
## 24   4 191680.00 318316.2 319465.3 18081133 14481882057 18058050
## 25   5 202051.17 343165.2 336757.3 12210829 14483479372 12200337
## 26   6 260126.83 424022.7 433530.0 22536140 14485157370 22500926
## 27   7 327930.00 558050.9 546580.1 37742686 14487145942 37643831
## 28  71  98569.00 150877.9 164276.7  5251516 14488396940  5249574
## 29  72  64312.00 130368.6 107191.3  2883401 14500436112  2882816
## 30  73 155092.83 223765.2 258455.3 13679542 14523723069 13666545
## 31  74  91025.00 143557.8 151704.0  7724005 14484149315  7719809
## 32  75  73756.67 134872.4 122930.3  3036826 14486788532  3036183
## 33  76  65566.67 139437.3 109282.5  2250220 14513241334  2249861
## 34  77  71549.67 122526.8 119250.1  2881784 14482416001  2881203
## 35  78 323869.33 562269.7 539850.2 43855631 14499417014 43721660
## 36  79  78337.50 137560.4 130564.3  3655034 14483540232  3654105
## 37   8 190961.50 314227.9 318263.1 21349069 14482472113 21317356
## 38   9 369298.17 592888.1 615430.6 42703155 14499583353 42576656
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         59.38240        66562.16        35.61021
## 2         85.06906        29506.68        50.95285
## 3         62.21859        49375.18        37.30224
## 4         82.15989        50846.41        49.24785
## 5         80.81001        42795.21        48.43020
## 6        133.20864        35006.76        79.74069
## 7        117.08111        32367.86        70.09619
## 8         70.31617        47256.60        42.15156
## 9         74.25086        39950.85        44.50060
## 10        52.45862        43966.48        31.45229
## 11        82.83908        61240.01        49.66259
## 12        51.47694        51727.37        30.86747
## 13        51.53723        59899.26        30.90624
## 14        92.20024        50728.27        55.25912
## 15       104.82710        38875.60        62.79399
## 16        93.76400        40906.73        56.18063
## 17       113.42121        41593.94        67.94034
## 18       136.04056        42280.28        81.46572
## 19       111.41376        48373.91        66.75474
## 20        82.44847        48879.52        49.41837
## 21        75.17471        51882.12        45.06487
## 22       110.29899        41960.14        66.07304
## 23        76.40021        52823.08        45.80004
## 24        94.33011        45495.04        56.52605
## 25        60.42776        42205.37        36.22493
## 26        86.66289        34162.21        51.91822
## 27       115.11700        25959.80        68.88540
## 28        53.16688        96031.00        31.88937
## 29        44.82219       111236.09        26.88668
## 30        88.17425        64906.54        52.86107
## 31        84.85586       100903.59        50.88730
## 32        41.16572       107419.79        24.69371
## 33        34.31957       104097.28        20.58755
## 34        40.28553       118204.40        24.16632
## 35       135.43797        25787.54        81.00414
## 36        46.64461       105298.54        27.97928
## 37       111.79449        46090.03        66.97835
## 38       115.61941        24455.94        69.17369
  6. Resampling 50%
      ress_1sc_0.5
##    kab    Y dir    Y syn    Y com  MSE dir    MSE syn  MSE com
## 1    1 113907.8 223452.5 225939.7  8717251   13417966  4534225
## 2   10 241477.0 492341.4 485736.1 24388779   69612650 16024492
## 3   11 142582.2 300606.6 285850.6 10476229  234755111  9995154
## 4   12 158563.4 289964.7 316546.6 15710842  723992674 15369941
## 5   13 172060.4 350036.5 346749.1 16573695   24378226  8182938
## 6   14 217533.2 421979.0 432613.9 33418170  160819356 25546472
## 7   15 231665.8 453566.2 460561.5 33342537  108196747 19361050
## 8   16 157057.0 310160.2 312112.5 13801797   14709754  6044108
## 9   17 176064.0 366043.1 353398.7 17152244  180364446 15449204
## 10  18 159042.2 333674.3 318789.4 10488447  239543927  9949805
## 11  19 142507.2 242767.9 284655.5 15116645 1774490049 14983719
## 12   2 143641.8 287335.1 287418.6  9125392    7134182  3867150
## 13  20 129744.0 245253.4 258886.3  8412391  199685086  8030182
## 14  21 155138.0 291749.8 309222.8 18845098  332022081 17655520
## 15  22 190358.6 380731.7 380633.3 24896365   22082658 11469399
## 16  23 175814.4 361175.6 354040.6 20980634   84422649 13427586
## 17  24 174640.6 354730.5 352535.8 25182792   19913598  9099559
## 18  25 171080.8 347475.7 344347.6 29766390   42205377 15083132
## 19  26 138397.8 305714.0 277497.6 19366298  839657882 18831881
## 20  27 143716.8 303203.0 288327.9 13971628  236280282 13152365
## 21  28 143641.6 283895.6 285254.7 12007602    9299534  4507520
## 22  29 175103.4 350847.0 350531.2 22923651   22450928 11341677
## 23   3 143413.8 283756.8 285191.5 13405935   12772696  5977135
## 24   4 159920.0 322639.0 321783.3 20014139   12781638  7238155
## 25   5 171483.4 349083.6 345090.1 14959313   35185267  8306718
## 26   6 221289.8 429571.6 440655.0 22268352  167281631 18080130
## 27   7 282816.4 568212.0 567257.4 42041524   32567509 17658463
## 28  71  82320.2 153291.8 164192.8  4502617  135872740  4266174
## 29  72  56502.4 132667.1 113166.7  3150978  385164489  3123639
## 30  73 134256.8 233618.9 268045.2 15943107 1226468077 15715220
## 31  74  78680.0 145252.8 156656.3  8481580  138850244  7980125
## 32  75  62560.0 136761.8 125436.2  3344154  143342732  3230746
## 33  76  57840.0 144596.3 115770.9  2627943  836237208  2619464
## 34  77  61608.4 126589.6 123548.8  2852508   15991623  1924609
## 35  78 275134.2 574433.0 552421.7 49526635  554966034 44528206
## 36  79  65947.0 139532.9 132436.9  4044496   55920776  3737063
## 37   8 159281.6 317737.1 318005.1 21726878   17117109  9437413
## 38   9 309248.6 597633.0 616272.3 46369056  390498614 41379630
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         76.54833        60.16135        20.03730
## 2        101.00767       141.56504        33.06432
## 3         73.49470       779.22303        34.97584
## 4         99.09476      2497.85659        48.56177
## 5         96.28595        69.56145        23.63074
## 6        153.52464       381.46102        58.89866
## 7        144.06951       238.54967        41.85054
## 8         87.89356        47.37535        19.31765
## 9         97.41515       492.13661        43.71634
## 10        65.94059       716.86878        31.21070
## 11       106.09375      7311.48905        52.64846
## 12        63.52780        24.83832        13.45641
## 13        64.83134       816.12645        31.01618
## 14       121.51768      1138.25859        57.10807
## 15       130.77582        57.96872        30.12256
## 16       119.28821       232.77264        38.01100
## 17       144.20558        56.00244        25.86188
## 18       174.24196       121.60850        43.95976
## 19       139.76481      2748.71804        67.79761
## 20        97.20702       778.95745        45.61056
## 21        83.57939        32.81937        15.77618
## 22       130.91045        63.98642        32.35394
## 23        93.47642        45.05633        20.94153
## 24       125.13317        39.67578        22.51904
## 25        87.16677       100.94394        24.15022
## 26       100.55761       388.41636        40.88473
## 27       148.65778        57.32157        31.13328
## 28        54.72042       886.50288        25.97270
## 29        55.75816      2902.08160        27.59671
## 30       118.80400      5257.61700        58.65288
## 31       107.79842       956.85403        50.94198
## 32        53.42789      1047.22461        25.75342
## 33        45.43470      5776.54243        22.62580
## 34        46.33829       126.01854        15.66211
## 35       179.95812       970.54248        80.68590
## 36        61.33572       400.34893        28.22429
## 37       136.42256        53.85421        29.67587
## 38       149.94792       653.44410        67.14807
      ress_1sc2_0.5
##    kab    Y dir    Y syn    Y com  MSE dir     MSE syn  MSE com
## 1    1 113907.8 223452.5 227813.0  8717251 14780718740  8712047
## 2   10 241477.0 492341.4 482969.4 24388779 14783234034 24348153
## 3   11 142582.2 300606.6 285175.5 10476229 14788448859 10468605
## 4   12 158563.4 289964.7 317098.0 15710842 14805499624 15694038
## 5   13 172060.4 350036.5 344127.4 16573695 14781330776 16554504
## 6   14 217533.2 421979.0 435036.2 33418170 14786551735 33340938
## 7   15 231665.8 453566.2 463309.9 33342537 14784529442 33266007
## 8   16 157057.0 310160.2 314110.2 13801797 14780776953 13788753
## 9   17 176064.0 366043.1 352144.1 17152244 14786803526 17132157
## 10  18 159042.2 333674.3 318095.4 10488447 14788614412 10480929
## 11  19 142507.2 242767.9 284971.4 15116645 14841703181 15100772
## 12   2 143641.8 287335.1 287283.7  9125392 14780071594  9119676
## 13  20 129744.0 245253.4 259479.8  8412391 14787168381  8407398
## 14  21 155138.0 291749.8 310252.6 18845098 14792091474 18820675
## 15  22 190358.6 380731.7 380717.3 24896365 14780089630 24854216
## 16  23 175814.4 361175.6 351642.1 20980634 14783583070 20950291
## 17  24 174640.6 354730.5 349290.6 25182792 14781183286 25139309
## 18  25 171080.8 347475.7 342172.8 29766390 14781691460 29705692
## 19  26 138397.8 305714.0 276832.8 19366298 14809614129 19340694
## 20  27 143716.8 303203.0 287448.4 13971628 14788621982 13958278
## 21  28 143641.6 283895.6 287280.4 12007602 14780487541 11997607
## 22  29 175103.4 350847.0 350207.8 22923651 14780008907 22887685
## 23   3 143413.8 283756.8 286824.9 13405935 14780493768 13393544
## 24   4 159920.0 322639.0 319843.6 20014139 14780365421 19986319
## 25   5 171483.4 349083.6 342972.8 14959313 14781584168 14943944
## 26   6 221289.8 429571.6 442559.5 22268352 14786528812 22233750
## 27   7 282816.4 568212.0 565639.9 42041524 14780659225 41921402
## 28  71  82320.2 153291.8 164637.0  4502617 14784833135  4501213
## 29  72  56502.4 132667.1 113009.0  3150978 14793382794  3150290
## 30  73 134256.8 233618.9 268476.1 15943107 14822834371 15925750
## 31  74  78680.0 145252.8 157353.1  8481580 14785073013  8476673
## 32  75  62560.0 136761.8 125122.6  3344154 14785050774  3343380
## 33  76  57840.0 144596.3 115685.2  2627943 14808918990  2627462
## 34  77  61608.4 126589.6 123217.4  2852508 14780630337  2851915
## 35  78 275134.2 574433.0 550348.5 49526635 14800837181 49360041
## 36  79  65947.0 139532.9 131896.1  4044496 14782060374  4043361
## 37   8 159281.6 317737.1 318562.1 21726878 14780151563 21694367
## 38   9 309248.6 597633.0 618431.8 46369056 14795057008 46222814
##    Relatif MSE dir Relatif MSE syn Relatif MSE com
## 1         76.54833        66152.27        38.25176
## 2        101.00767        30027.17        50.41807
## 3         73.49470        49200.37        36.71911
## 4         99.09476        51063.33        49.49891
## 5         96.28595        42228.78        48.08630
## 6        153.52464        35040.77        76.59052
## 7        144.06951        32595.69        71.87268
## 8         87.89356        47656.22        43.90578
## 9         97.41515        40396.27        48.64831
## 10        65.94059        44322.79        32.94552
## 11       106.09375        61133.95        52.99941
## 12        63.52780        51439.04        31.74399
## 13        64.83134        60299.12        32.39750
## 14       121.51768        50700.43        60.68469
## 15       130.77582        38822.64        65.27718
## 16       119.28821        40935.86        59.55561
## 17       144.20558        41670.42        71.97630
## 18       174.24196        42541.69        86.94001
## 19       139.76481        48444.16        69.78077
## 20        97.20702        48776.16        48.55455
## 21        83.57939        52065.03        41.75534
## 22       130.91045        42128.08        65.35234
## 23        93.47642        52088.26        46.69546
## 24       125.13317        45810.20        62.47894
## 25        87.16677        42343.13        43.53790
## 26       100.55761        34422.64        50.20315
## 27       148.65778        26011.64        74.11557
## 28        54.72042        96453.46        27.35226
## 29        55.75816       111519.22        27.87195
## 30       118.80400        63449.25        59.34571
## 31       107.79842       101799.47        53.87042
## 32        53.42789       108119.01        26.70720
## 33        45.43470       102438.55        22.71214
## 34        46.33829       116764.11        23.16419
## 35       179.95812        25766.76        89.66339
## 36        61.33572       105951.77        30.65875
## 37       136.42256        46518.52        68.10941
## 38       149.94792        24756.37        74.74550

Penentuan X signifikan

#Cek X signifikan
urut_kab <- as.numeric(c(1,10,11,12,13,14,15,16,17,18,19,2,20,21,22,23,24,25,26,27,28,29,3,4,5,6,7,71,72,73,74,75,76,77,78,79,8,9))
y_kab_x <- res_1sc_1$`Y dir`
gab_9 <- cbind(urut_kab,y_kab_x)
gab_10 <- gab_9[order(gab_9[,1]),]

y_x <- gab_10[,2]
# variabel terpilih : x7,x13,x14,x18,x19,x20,x21,x24,x25,x34
mat_x <- matrix(cbind(1,x7$x,x13$x,x14$x,x18$x,x19$x,x20$x,x21$x,x24$x,x25$x,x34$x),ncol = 11)

#Cari yang paling signifikan
# 1. Cek semua variabel
hsl_br_x <- lm(y_x~x1$x+x2$x+x3$x+x4$x+x5$x+x6$x+x7$x+x8$x+x9$x+x10$x
               +x11$x+x12$x+x13$x+x14$x+x15$x+x16$x+x17$x+x18$x+x19$x+x20$x
               +x21$x+x22$x+x23$x+x24$x+x25$x+x26$x+x27$x+x28$x+x29$x+x30$x
               +x31$x+x32$x+x33$x+x34$x+x35$x)
summary(hsl_br_x)
## 
## Call:
## lm(formula = y_x ~ x1$x + x2$x + x3$x + x4$x + x5$x + x6$x + 
##     x7$x + x8$x + x9$x + x10$x + x11$x + x12$x + x13$x + x14$x + 
##     x15$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + x22$x + 
##     x23$x + x24$x + x25$x + x26$x + x27$x + x28$x + x29$x + x30$x + 
##     x31$x + x32$x + x33$x + x34$x + x35$x)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -26447  -6066  -1168   5921  22270 
## 
## Coefficients: (5 not defined because of singularities)
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.163e+05  1.429e+04   8.133  8.2e-05 ***
## x1$x         1.616e+01  1.963e+01   0.823    0.438    
## x2$x        -4.456e+01  4.866e+01  -0.916    0.390    
## x3$x         7.560e+01  9.714e+01   0.778    0.462    
## x4$x         5.263e+03  7.708e+03   0.683    0.517    
## x5$x                NA         NA      NA       NA    
## x6$x                NA         NA      NA       NA    
## x7$x         1.850e+04  1.543e+04   1.199    0.270    
## x8$x        -5.485e+02  1.621e+03  -0.338    0.745    
## x9$x         1.766e-01  3.679e+00   0.048    0.963    
## x10$x        3.132e+00  3.624e+00   0.864    0.416    
## x11$x               NA         NA      NA       NA    
## x12$x        2.327e+02  3.479e+02   0.669    0.525    
## x13$x        9.796e-01  7.885e-01   1.242    0.254    
## x14$x       -1.049e+01  1.256e+01  -0.836    0.431    
## x15$x               NA         NA      NA       NA    
## x16$x       -1.076e+01  1.959e+01  -0.549    0.600    
## x17$x        1.928e+03  1.409e+03   1.368    0.213    
## x18$x       -1.929e+04  1.727e+04  -1.117    0.301    
## x19$x       -1.990e+04  1.752e+04  -1.135    0.294    
## x20$x       -1.918e+02  2.425e+02  -0.791    0.455    
## x21$x        5.152e+02  6.421e+02   0.802    0.449    
## x22$x        7.323e+01  3.956e+02   0.185    0.858    
## x23$x        1.625e+02  3.994e+02   0.407    0.696    
## x24$x        6.364e+01  3.419e+01   1.861    0.105    
## x25$x       -5.354e+01  3.050e+01  -1.756    0.123    
## x26$x        2.991e+00  5.256e+01   0.057    0.956    
## x27$x        3.679e+01  5.674e+01   0.648    0.537    
## x28$x       -3.040e+01  3.918e+01  -0.776    0.463    
## x29$x        2.819e+01  1.989e+02   0.142    0.891    
## x30$x               NA         NA      NA       NA    
## x31$x        8.888e+00  7.195e+01   0.124    0.905    
## x32$x        1.379e+02  3.073e+02   0.449    0.667    
## x33$x       -1.314e+02  1.273e+02  -1.033    0.336    
## x34$x        2.438e+00  4.653e+00   0.524    0.616    
## x35$x        4.386e-01  2.124e+00   0.206    0.842    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 24600 on 7 degrees of freedom
## Multiple R-squared:  0.9923, Adjusted R-squared:  0.9593 
## F-statistic: 30.08 on 30 and 7 DF,  p-value: 5.436e-05
# 2. Seleksi variabel awal
#Hasil dengan backward
step(lm(y_x~x1$x+x2$x+x3$x+x4$x+x5$x+x6$x+x7$x+x8$x+x9$x+x10$x
        +x11$x+x12$x+x13$x+x14$x+x15$x+x16$x+x17$x+x18$x+x19$x+x20$x
        +x21$x+x22$x+x23$x+x24$x+x25$x+x26$x+x27$x+x28$x+x29$x+x30$x
        +x31$x+x32$x+x33$x+x34$x+x35$x),direction="backward")
## Start:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x5$x + x6$x + x7$x + x8$x + 
##     x9$x + x10$x + x11$x + x12$x + x13$x + x14$x + x15$x + x16$x + 
##     x17$x + x18$x + x19$x + x20$x + x21$x + x22$x + x23$x + x24$x + 
##     x25$x + x26$x + x27$x + x28$x + x29$x + x30$x + x31$x + x32$x + 
##     x33$x + x34$x + x35$x
## 
## 
## Step:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x5$x + x6$x + x7$x + x8$x + 
##     x9$x + x10$x + x11$x + x12$x + x13$x + x14$x + x15$x + x16$x + 
##     x17$x + x18$x + x19$x + x20$x + x21$x + x22$x + x23$x + x24$x + 
##     x25$x + x26$x + x27$x + x28$x + x29$x + x31$x + x32$x + x33$x + 
##     x34$x + x35$x
## 
## 
## Step:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x5$x + x6$x + x7$x + x8$x + 
##     x9$x + x10$x + x11$x + x12$x + x13$x + x14$x + x16$x + x17$x + 
##     x18$x + x19$x + x20$x + x21$x + x22$x + x23$x + x24$x + x25$x + 
##     x26$x + x27$x + x28$x + x29$x + x31$x + x32$x + x33$x + x34$x + 
##     x35$x
## 
## 
## Step:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x5$x + x6$x + x7$x + x8$x + 
##     x9$x + x10$x + x12$x + x13$x + x14$x + x16$x + x17$x + x18$x + 
##     x19$x + x20$x + x21$x + x22$x + x23$x + x24$x + x25$x + x26$x + 
##     x27$x + x28$x + x29$x + x31$x + x32$x + x33$x + x34$x + x35$x
## 
## 
## Step:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x5$x + x7$x + x8$x + x9$x + 
##     x10$x + x12$x + x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + 
##     x20$x + x21$x + x22$x + x23$x + x24$x + x25$x + x26$x + x27$x + 
##     x28$x + x29$x + x31$x + x32$x + x33$x + x34$x + x35$x
## 
## 
## Step:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x9$x + x10$x + 
##     x12$x + x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + 
##     x21$x + x22$x + x23$x + x24$x + x25$x + x26$x + x27$x + x28$x + 
##     x29$x + x31$x + x32$x + x33$x + x34$x + x35$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x9$x   1    1394069 4236087902 764.11
## - x26$x  1    1959467 4236653299 764.12
## - x31$x  1    9232767 4243926599 764.18
## - x29$x  1   12158194 4246852026 764.21
## - x22$x  1   20729763 4255423595 764.29
## - x35$x  1   25785512 4260479345 764.33
## - x8$x   1   69309711 4304003543 764.72
## - x23$x  1  100209110 4334902943 764.99
## - x32$x  1  121833222 4356527054 765.18
## - x34$x  1  166142605 4400836437 765.56
## - x16$x  1  182361517 4417055350 765.70
## <none>                4234693833 766.10
## - x27$x  1  254408621 4489102454 766.32
## - x12$x  1  270782407 4505476239 766.46
## - x4$x   1  282047791 4516741624 766.55
## - x28$x  1  364364428 4599058261 767.24
## - x3$x   1  366431585 4601125418 767.26
## - x20$x  1  378542172 4613236005 767.36
## - x21$x  1  389513187 4624207019 767.45
## - x1$x   1  409777539 4644471371 767.61
## - x14$x  1  422594204 4657288036 767.72
## - x10$x  1  451971179 4686665011 767.96
## - x2$x   1  507401761 4742095593 768.40
## - x33$x  1  645040032 4879733865 769.49
## - x18$x  1  754988836 4989682669 770.34
## - x19$x  1  779726454 5014420286 770.52
## - x7$x   1  868997538 5103691371 771.19
## - x13$x  1  933697774 5168391606 771.67
## - x17$x  1 1132796745 5367490578 773.11
## - x25$x  1 1864682363 6099376196 777.97
## - x24$x  1 2096104599 6330798432 779.38
## 
## Step:  AIC=764.11
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x10$x + x12$x + 
##     x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + 
##     x22$x + x23$x + x24$x + x25$x + x26$x + x27$x + x28$x + x29$x + 
##     x31$x + x32$x + x33$x + x34$x + x35$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x26$x  1    1988159 4238076061 762.13
## - x31$x  1    8138874 4244226776 762.19
## - x29$x  1   19929604 4256017506 762.29
## - x22$x  1   23199854 4259287756 762.32
## - x35$x  1   38055896 4274143797 762.45
## - x8$x   1  101148758 4337236660 763.01
## - x32$x  1  129486289 4365574190 763.26
## - x23$x  1  133714530 4369802431 763.30
## - x16$x  1  186551170 4422639072 763.75
## <none>                4236087902 764.11
## - x27$x  1  269773831 4505861733 764.46
## - x12$x  1  295341259 4531429160 764.68
## - x34$x  1  302783663 4538871565 764.74
## - x20$x  1  399669633 4635757535 765.54
## - x4$x   1  409641276 4645729178 765.62
## - x3$x   1  426488113 4662576014 765.76
## - x28$x  1  432717139 4668805041 765.81
## - x21$x  1  592052023 4828139925 767.09
## - x14$x  1  601073012 4837160913 767.16
## - x1$x   1  729889558 4965977460 768.16
## - x2$x   1  881813479 5117901381 769.30
## - x10$x  1  911363511 5147451412 769.52
## - x33$x  1 1020417606 5256505507 770.32
## - x18$x  1 1186014255 5422102156 771.49
## - x19$x  1 1229782179 5465870080 771.80
## - x17$x  1 1289890464 5525978366 772.22
## - x7$x   1 1397097774 5633185676 772.95
## - x13$x  1 1775729050 6011816952 775.42
## - x25$x  1 2588693214 6824781116 780.24
## - x24$x  1 2738599692 6974687594 781.06
## 
## Step:  AIC=762.13
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x10$x + x12$x + 
##     x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + 
##     x22$x + x23$x + x24$x + x25$x + x27$x + x28$x + x29$x + x31$x + 
##     x32$x + x33$x + x34$x + x35$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x22$x  1   21649885 4259725946 760.33
## - x29$x  1   25096588 4263172649 760.36
## - x35$x  1   36091115 4274167176 760.45
## - x8$x   1  111797952 4349874013 761.12
## - x23$x  1  158690865 4396766926 761.53
## - x32$x  1  159261381 4397337442 761.53
## - x16$x  1  188646717 4426722778 761.79
## <none>                4238076061 762.13
## - x31$x  1  231269601 4469345662 762.15
## - x27$x  1  273042208 4511118269 762.50
## - x12$x  1  293448423 4531524485 762.68
## - x34$x  1  348481100 4586557162 763.13
## - x20$x  1  399855202 4637931263 763.56
## - x28$x  1  431448762 4669524823 763.82
## - x4$x   1  446780372 4684856433 763.94
## - x3$x   1  450667689 4688743750 763.97
## - x21$x  1  688917736 4926993797 765.86
## - x1$x   1  734753020 4972829081 766.21
## - x2$x   1  906154334 5144230395 767.50
## - x10$x  1  909836945 5147913006 767.52
## - x14$x  1  931826879 5169902940 767.68
## - x17$x  1 1308556098 5546632159 770.36
## - x18$x  1 1440643576 5678719637 771.25
## - x19$x  1 1495643702 5733719763 771.62
## - x7$x   1 1664730353 5902806414 772.72
## - x33$x  1 1861052047 6099128108 773.97
## - x25$x  1 3059640151 7297716212 780.78
## - x24$x  1 3255330296 7493406357 781.79
## - x13$x  1 3268400563 7506476624 781.85
## 
## Step:  AIC=760.33
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x10$x + x12$x + 
##     x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + 
##     x23$x + x24$x + x25$x + x27$x + x28$x + x29$x + x31$x + x32$x + 
##     x33$x + x34$x + x35$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x35$x  1   31716636 4291442582 758.61
## - x29$x  1   37485186 4297211131 758.66
## - x8$x   1   95599915 4355325861 759.17
## - x23$x  1  146294866 4406020812 759.61
## - x32$x  1  149675937 4409401883 759.64
## <none>                4259725946 760.33
## - x27$x  1  251445730 4511171676 760.50
## - x31$x  1  297048647 4556774593 760.89
## - x16$x  1  320481955 4580207901 761.08
## - x34$x  1  328777523 4588503469 761.15
## - x12$x  1  492922815 4752648761 762.49
## - x4$x   1  506797414 4766523359 762.60
## - x3$x   1  523508002 4783233947 762.73
## - x28$x  1  665701163 4925427109 763.84
## - x20$x  1  696490868 4956216814 764.08
## - x1$x   1  824810413 5084536359 765.05
## - x2$x   1  888634073 5148360019 765.53
## - x14$x  1  940173231 5199899177 765.90
## - x10$x  1 1019684885 5279410831 766.48
## - x21$x  1 1057620668 5317346613 766.75
## - x17$x  1 1838197759 6097923705 771.96
## - x33$x  1 2185429919 6445155865 774.06
## - x18$x  1 2354986896 6614712842 775.05
## - x19$x  1 2450546894 6710272840 775.59
## - x7$x   1 2801300987 7061026932 777.53
## - x25$x  1 3039096997 7298822942 778.79
## - x24$x  1 3245242447 7504968393 779.85
## - x13$x  1 3856269520 8115995466 782.82
## 
## Step:  AIC=758.61
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x10$x + x12$x + 
##     x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + 
##     x23$x + x24$x + x25$x + x27$x + x28$x + x29$x + x31$x + x32$x + 
##     x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x29$x  1   37382969 4328825551 756.94
## - x8$x   1   64851172 4356293753 757.18
## - x23$x  1  114660139 4406102721 757.61
## - x32$x  1  200931180 4492373762 758.35
## <none>                4291442582 758.61
## - x31$x  1  266527179 4557969761 758.90
## - x27$x  1  272196357 4563638939 758.94
## - x16$x  1  302241796 4593684378 759.19
## - x12$x  1  477023368 4768465950 760.61
## - x34$x  1  504375945 4795818527 760.83
## - x3$x   1  521462635 4812905217 760.97
## - x4$x   1  560034584 4851477166 761.27
## - x20$x  1  674213408 4965655990 762.15
## - x28$x  1  767188753 5058631335 762.86
## - x2$x   1  900901346 5192343928 763.85
## - x1$x   1 1045916317 5337358899 764.90
## - x14$x  1 1060877791 5352320373 765.00
## - x21$x  1 1082164348 5373606930 765.15
## - x10$x  1 1086644127 5378086709 765.18
## - x17$x  1 1867647847 6159090429 770.34
## - x33$x  1 2354167260 6645609842 773.23
## - x18$x  1 2561767567 6853210148 774.40
## - x19$x  1 2642636980 6934079562 774.84
## - x7$x   1 2932508533 7223951115 776.40
## - x25$x  1 3014779957 7306222539 776.83
## - x24$x  1 3288469958 7579912540 778.22
## - x13$x  1 5339672227 9631114809 787.33
## 
## Step:  AIC=756.94
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x10$x + x12$x + 
##     x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + 
##     x23$x + x24$x + x25$x + x27$x + x28$x + x31$x + x32$x + x33$x + 
##     x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x8$x   1  152595558 4481421109 756.25
## <none>                4328825551 756.94
## - x23$x  1  238020410 4566845961 756.97
## - x32$x  1  263628990 4592454541 757.18
## - x31$x  1  283436346 4612261897 757.35
## - x27$x  1  329480106 4658305657 757.72
## - x12$x  1  444678672 4773504223 758.65
## - x34$x  1  489092237 4817917788 759.00
## - x16$x  1  516249368 4845074919 759.22
## - x20$x  1  642415208 4971240759 760.20
## - x3$x   1  671119301 4999944852 760.41
## - x28$x  1  736340297 5065165848 760.91
## - x2$x   1  882342600 5211168151 761.99
## - x1$x   1 1009744469 5338570020 762.90
## - x10$x  1 1049715523 5378541074 763.19
## - x4$x   1 1097132447 5425957998 763.52
## - x14$x  1 1260051507 5588877058 764.65
## - x21$x  1 1262949432 5591774983 764.67
## - x17$x  1 1850048140 6178873691 768.46
## - x33$x  1 2339395613 6668221164 771.36
## - x25$x  1 3107660601 7436486152 775.50
## - x18$x  1 3137753242 7466578793 775.65
## - x19$x  1 3286215741 7615041292 776.40
## - x24$x  1 3324088663 7652914214 776.59
## - x7$x   1 3631333415 7960158966 778.08
## - x13$x  1 5489003823 9817829374 786.06
## 
## Step:  AIC=756.25
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + x23$x + 
##     x24$x + x25$x + x27$x + x28$x + x31$x + x32$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x23$x  1  126844344 4608265453 755.31
## - x32$x  1  207621122 4689042231 755.97
## <none>                4481421109 756.25
## - x31$x  1  268976258 4750397367 756.47
## - x12$x  1  305242094 4786663203 756.76
## - x27$x  1  368140831 4849561940 757.25
## - x16$x  1  386692188 4868113297 757.40
## - x3$x   1  554786128 5036207237 758.69
## - x28$x  1  587145905 5068567014 758.93
## - x20$x  1  735694265 5217115374 760.03
## - x2$x   1  764227482 5245648591 760.24
## - x1$x   1  863452954 5344874063 760.95
## - x34$x  1  932995336 5414416445 761.44
## - x10$x  1  960449023 5441870132 761.63
## - x4$x   1  967882247 5449303356 761.68
## - x17$x  1 1784959873 6266380981 766.99
## - x14$x  1 1814022446 6295443555 767.17
## - x21$x  1 1876482036 6357903145 767.54
## - x33$x  1 2195427173 6676848282 769.40
## - x25$x  1 3029418843 7510839952 773.88
## - x24$x  1 3277258538 7758679647 775.11
## - x18$x  1 4410441862 8891862971 780.29
## - x7$x   1 4444362250 8925783359 780.44
## - x19$x  1 4598392265 9079813374 781.09
## - x13$x  1 5385078125 9866499234 784.24
## 
## Step:  AIC=755.31
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
##     x25$x + x27$x + x28$x + x31$x + x32$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x32$x  1   89913114 4.6982e+09 754.05
## - x31$x  1  145497228 4.7538e+09 754.50
## <none>                4.6083e+09 755.31
## - x16$x  1  294042349 4.9023e+09 755.66
## - x27$x  1  374571297 4.9828e+09 756.28
## - x3$x   1  428279819 5.0365e+09 756.69
## - x12$x  1  447593055 5.0559e+09 756.84
## - x28$x  1  540104128 5.1484e+09 757.53
## - x2$x   1  638708939 5.2470e+09 758.25
## - x1$x   1  754261206 5.3625e+09 759.07
## - x20$x  1  766047138 5.3743e+09 759.16
## - x34$x  1  818404052 5.4267e+09 759.53
## - x10$x  1  843781482 5.4520e+09 759.70
## - x4$x   1  844769028 5.4530e+09 759.71
## - x17$x  1 1736064572 6.3443e+09 765.46
## - x21$x  1 2097685378 6.7060e+09 767.57
## - x14$x  1 2114650054 6.7229e+09 767.67
## - x33$x  1 2168438060 6.7767e+09 767.97
## - x24$x  1 3333018255 7.9413e+09 773.99
## - x25$x  1 3333322769 7.9416e+09 774.00
## - x18$x  1 4663815664 9.2721e+09 779.88
## - x7$x   1 4774673705 9.3829e+09 780.33
## - x19$x  1 4836051609 9.4443e+09 780.58
## - x13$x  1 5826679650 1.0435e+10 784.37
## 
## Step:  AIC=754.05
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
##     x25$x + x27$x + x28$x + x31$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x31$x  1  151567025 4.8497e+09 753.26
## - x16$x  1  250749907 4.9489e+09 754.02
## <none>                4.6982e+09 754.05
## - x27$x  1  287874355 4.9861e+09 754.31
## - x3$x   1  367029545 5.0652e+09 754.91
## - x12$x  1  387656715 5.0858e+09 755.06
## - x28$x  1  480515320 5.1787e+09 755.75
## - x2$x   1  559249005 5.2574e+09 756.32
## - x1$x   1  664914458 5.3631e+09 757.08
## - x20$x  1  733738117 5.4319e+09 757.56
## - x4$x   1  754892879 5.4531e+09 757.71
## - x10$x  1  810351669 5.5085e+09 758.10
## - x34$x  1  886377316 5.5846e+09 758.62
## - x17$x  1 1674352704 6.3725e+09 763.63
## - x21$x  1 2053267277 6.7514e+09 765.83
## - x14$x  1 2159146163 6.8573e+09 766.42
## - x33$x  1 2319380481 7.0176e+09 767.30
## - x25$x  1 3446691889 8.1449e+09 772.96
## - x24$x  1 3557695347 8.2559e+09 773.47
## - x18$x  1 4574814944 9.2730e+09 777.89
## - x7$x   1 4689800911 9.3880e+09 778.35
## - x19$x  1 4746388133 9.4446e+09 778.58
## - x13$x  1 7060241079 1.1758e+10 786.91
## 
## Step:  AIC=753.26
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
##     x25$x + x27$x + x28$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x16$x  1  255096224 5.1048e+09 753.20
## <none>                4.8497e+09 753.26
## - x3$x   1  320483217 5.1702e+09 753.69
## - x27$x  1  398007742 5.2478e+09 754.25
## - x28$x  1  424977505 5.2747e+09 754.45
## - x12$x  1  488371583 5.3381e+09 754.90
## - x1$x   1  574683489 5.4244e+09 755.51
## - x2$x   1  599760629 5.4495e+09 755.69
## - x20$x  1  715960899 5.5657e+09 756.49
## - x10$x  1  717820453 5.5676e+09 756.50
## - x34$x  1  745228016 5.5950e+09 756.69
## - x4$x   1  757122240 5.6069e+09 756.77
## - x17$x  1 1945476689 6.7952e+09 764.07
## - x21$x  1 1974787719 6.8245e+09 764.24
## - x14$x  1 2032629069 6.8824e+09 764.56
## - x33$x  1 2169128101 7.0189e+09 765.30
## - x25$x  1 3394182933 8.2439e+09 771.42
## - x24$x  1 3464596817 8.3143e+09 771.74
## - x18$x  1 4831892750 9.6816e+09 777.52
## - x7$x   1 4870671098 9.7204e+09 777.68
## - x19$x  1 4980266323 9.8300e+09 778.10
## - x13$x  1 6912068507 1.1762e+10 784.92
## 
## Step:  AIC=753.2
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + x25$x + 
##     x27$x + x28$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x3$x   1  172146767 5.2770e+09 752.46
## <none>                5.1048e+09 753.20
## - x27$x  1  285212000 5.3901e+09 753.27
## - x12$x  1  463182889 5.5680e+09 754.50
## - x28$x  1  482528992 5.5874e+09 754.64
## - x2$x   1  550091527 5.6549e+09 755.09
## - x10$x  1  618691146 5.7235e+09 755.55
## - x34$x  1  646212113 5.7511e+09 755.73
## - x20$x  1  658387723 5.7632e+09 755.81
## - x4$x   1  917918545 6.0228e+09 757.49
## - x1$x   1  970166345 6.0750e+09 757.81
## - x17$x  1 1692303364 6.7971e+09 762.08
## - x21$x  1 2120408338 7.2253e+09 764.40
## - x33$x  1 2223160543 7.3280e+09 764.94
## - x24$x  1 3386340312 8.4912e+09 770.54
## - x25$x  1 3512674607 8.6175e+09 771.10
## - x14$x  1 4667504960 9.7723e+09 775.88
## - x18$x  1 4690297442 9.7951e+09 775.97
## - x7$x   1 4810609503 9.9155e+09 776.43
## - x19$x  1 4836492902 9.9413e+09 776.53
## - x13$x  1 6815510546 1.1920e+10 783.43
## 
## Step:  AIC=752.46
## y_x ~ x1$x + x2$x + x4$x + x7$x + x10$x + x12$x + x13$x + x14$x + 
##     x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + x25$x + x27$x + 
##     x28$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## <none>                5.2770e+09 752.46
## - x2$x   1  379556768 5.6565e+09 753.10
## - x27$x  1  393047716 5.6700e+09 753.19
## - x28$x  1  484293413 5.7613e+09 753.80
## - x34$x  1  496530734 5.7735e+09 753.88
## - x10$x  1  549351183 5.8263e+09 754.23
## - x12$x  1  752326579 6.0293e+09 755.53
## - x4$x   1  767831983 6.0448e+09 755.63
## - x20$x  1  785370790 6.0624e+09 755.74
## - x1$x   1 1167207409 6.4442e+09 758.06
## - x17$x  1 1859734558 7.1367e+09 761.94
## - x33$x  1 2052242768 7.3292e+09 762.95
## - x24$x  1 3380845127 8.6578e+09 769.28
## - x25$x  1 3616547073 8.8935e+09 770.30
## - x21$x  1 3854815767 9.1318e+09 771.30
## - x14$x  1 4740562894 1.0018e+10 774.82
## - x18$x  1 4811377888 1.0088e+10 775.09
## - x19$x  1 4903647745 1.0181e+10 775.43
## - x7$x   1 4929257866 1.0206e+10 775.53
## - x13$x  1 7129247097 1.2406e+10 782.95
## 
## Call:
## lm(formula = y_x ~ x1$x + x2$x + x4$x + x7$x + x10$x + x12$x + 
##     x13$x + x14$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
##     x25$x + x27$x + x28$x + x33$x + x34$x)
## 
## Coefficients:
## (Intercept)         x1$x         x2$x         x4$x         x7$x  
##  114692.419       10.702      -16.665     1461.718    21251.091  
##       x10$x        x12$x        x13$x        x14$x        x17$x  
##       1.158      223.326        1.033      -14.512     1657.706  
##       x18$x        x19$x        x20$x        x21$x        x24$x  
##  -22601.643   -23024.615     -193.912      718.521       48.719  
##       x25$x        x27$x        x28$x        x33$x        x34$x  
##     -40.576       34.673      -19.963     -120.294        1.668
#hasil:
lm(formula = y_x ~ x1$x + x2$x + x4$x + x7$x + x10$x + x12$x + 
     x13$x + x14$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
     x25$x + x27$x + x28$x + x33$x + x34$x)
## 
## Call:
## lm(formula = y_x ~ x1$x + x2$x + x4$x + x7$x + x10$x + x12$x + 
##     x13$x + x14$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
##     x25$x + x27$x + x28$x + x33$x + x34$x)
## 
## Coefficients:
## (Intercept)         x1$x         x2$x         x4$x         x7$x  
##  114692.419       10.702      -16.665     1461.718    21251.091  
##       x10$x        x12$x        x13$x        x14$x        x17$x  
##       1.158      223.326        1.033      -14.512     1657.706  
##       x18$x        x19$x        x20$x        x21$x        x24$x  
##  -22601.643   -23024.615     -193.912      718.521       48.719  
##       x25$x        x27$x        x28$x        x33$x        x34$x  
##     -40.576       34.673      -19.963     -120.294        1.668
#Hasil dengan both
cek1<-step(lm(y_x~x1$x+x2$x+x3$x+x4$x+x5$x+x6$x+x7$x+x8$x+x9$x+x10$x
              +x11$x+x12$x+x13$x+x14$x+x15$x+x16$x+x17$x+x18$x+x19$x+x20$x
              +x21$x+x22$x+x23$x+x24$x+x25$x+x26$x+x27$x+x28$x+x29$x+x30$x
              +x31$x+x32$x+x33$x+x34$x+x35$x),direction="both")
## Start:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x5$x + x6$x + x7$x + x8$x + 
##     x9$x + x10$x + x11$x + x12$x + x13$x + x14$x + x15$x + x16$x + 
##     x17$x + x18$x + x19$x + x20$x + x21$x + x22$x + x23$x + x24$x + 
##     x25$x + x26$x + x27$x + x28$x + x29$x + x30$x + x31$x + x32$x + 
##     x33$x + x34$x + x35$x
## 
## 
## Step:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x5$x + x6$x + x7$x + x8$x + 
##     x9$x + x10$x + x11$x + x12$x + x13$x + x14$x + x15$x + x16$x + 
##     x17$x + x18$x + x19$x + x20$x + x21$x + x22$x + x23$x + x24$x + 
##     x25$x + x26$x + x27$x + x28$x + x29$x + x31$x + x32$x + x33$x + 
##     x34$x + x35$x
## 
## 
## Step:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x5$x + x6$x + x7$x + x8$x + 
##     x9$x + x10$x + x11$x + x12$x + x13$x + x14$x + x16$x + x17$x + 
##     x18$x + x19$x + x20$x + x21$x + x22$x + x23$x + x24$x + x25$x + 
##     x26$x + x27$x + x28$x + x29$x + x31$x + x32$x + x33$x + x34$x + 
##     x35$x
## 
## 
## Step:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x5$x + x6$x + x7$x + x8$x + 
##     x9$x + x10$x + x12$x + x13$x + x14$x + x16$x + x17$x + x18$x + 
##     x19$x + x20$x + x21$x + x22$x + x23$x + x24$x + x25$x + x26$x + 
##     x27$x + x28$x + x29$x + x31$x + x32$x + x33$x + x34$x + x35$x
## 
## 
## Step:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x5$x + x7$x + x8$x + x9$x + 
##     x10$x + x12$x + x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + 
##     x20$x + x21$x + x22$x + x23$x + x24$x + x25$x + x26$x + x27$x + 
##     x28$x + x29$x + x31$x + x32$x + x33$x + x34$x + x35$x
## 
## 
## Step:  AIC=766.1
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x9$x + x10$x + 
##     x12$x + x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + 
##     x21$x + x22$x + x23$x + x24$x + x25$x + x26$x + x27$x + x28$x + 
##     x29$x + x31$x + x32$x + x33$x + x34$x + x35$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x9$x   1    1394069 4236087902 764.11
## - x26$x  1    1959467 4236653299 764.12
## - x31$x  1    9232767 4243926599 764.18
## - x29$x  1   12158194 4246852026 764.21
## - x22$x  1   20729763 4255423595 764.29
## - x35$x  1   25785512 4260479345 764.33
## - x8$x   1   69309711 4304003543 764.72
## - x23$x  1  100209110 4334902943 764.99
## - x32$x  1  121833222 4356527054 765.18
## - x34$x  1  166142605 4400836437 765.56
## - x16$x  1  182361517 4417055350 765.70
## <none>                4234693833 766.10
## - x27$x  1  254408621 4489102454 766.32
## - x12$x  1  270782407 4505476239 766.46
## - x4$x   1  282047791 4516741624 766.55
## - x28$x  1  364364428 4599058261 767.24
## - x3$x   1  366431585 4601125418 767.26
## - x20$x  1  378542172 4613236005 767.36
## - x21$x  1  389513187 4624207019 767.45
## - x1$x   1  409777539 4644471371 767.61
## - x14$x  1  422594204 4657288036 767.72
## - x10$x  1  451971179 4686665011 767.96
## - x2$x   1  507401761 4742095593 768.40
## - x33$x  1  645040032 4879733865 769.49
## - x18$x  1  754988836 4989682669 770.34
## - x19$x  1  779726454 5014420286 770.52
## - x7$x   1  868997538 5103691371 771.19
## - x13$x  1  933697774 5168391606 771.67
## - x17$x  1 1132796745 5367490578 773.11
## - x25$x  1 1864682363 6099376196 777.97
## - x24$x  1 2096104599 6330798432 779.38
## 
## Step:  AIC=764.11
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x10$x + x12$x + 
##     x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + 
##     x22$x + x23$x + x24$x + x25$x + x26$x + x27$x + x28$x + x29$x + 
##     x31$x + x32$x + x33$x + x34$x + x35$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x26$x  1    1988159 4238076061 762.13
## - x31$x  1    8138874 4244226776 762.19
## - x29$x  1   19929604 4256017506 762.29
## - x22$x  1   23199854 4259287756 762.32
## - x35$x  1   38055896 4274143797 762.45
## - x8$x   1  101148758 4337236660 763.01
## - x32$x  1  129486289 4365574190 763.26
## - x23$x  1  133714530 4369802431 763.30
## - x16$x  1  186551170 4422639072 763.75
## <none>                4236087902 764.11
## - x27$x  1  269773831 4505861733 764.46
## - x12$x  1  295341259 4531429160 764.68
## - x34$x  1  302783663 4538871565 764.74
## - x20$x  1  399669633 4635757535 765.54
## - x4$x   1  409641276 4645729178 765.62
## - x3$x   1  426488113 4662576014 765.76
## - x28$x  1  432717139 4668805041 765.81
## + x9$x   1    1394069 4234693833 766.10
## + x11$x  1    1394069 4234693833 766.10
## - x21$x  1  592052023 4828139925 767.09
## - x14$x  1  601073012 4837160913 767.16
## - x1$x   1  729889558 4965977460 768.16
## - x2$x   1  881813479 5117901381 769.30
## - x10$x  1  911363511 5147451412 769.52
## - x33$x  1 1020417606 5256505507 770.32
## - x18$x  1 1186014255 5422102156 771.49
## - x19$x  1 1229782179 5465870080 771.80
## - x17$x  1 1289890464 5525978366 772.22
## - x7$x   1 1397097774 5633185676 772.95
## - x13$x  1 1775729050 6011816952 775.42
## - x25$x  1 2588693214 6824781116 780.24
## - x24$x  1 2738599692 6974687594 781.06
## 
## Step:  AIC=762.13
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x10$x + x12$x + 
##     x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + 
##     x22$x + x23$x + x24$x + x25$x + x27$x + x28$x + x29$x + x31$x + 
##     x32$x + x33$x + x34$x + x35$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x22$x  1   21649885 4259725946 760.33
## - x29$x  1   25096588 4263172649 760.36
## - x35$x  1   36091115 4274167176 760.45
## - x8$x   1  111797952 4349874013 761.12
## - x23$x  1  158690865 4396766926 761.53
## - x32$x  1  159261381 4397337442 761.53
## - x16$x  1  188646717 4426722778 761.79
## <none>                4238076061 762.13
## - x31$x  1  231269601 4469345662 762.15
## - x27$x  1  273042208 4511118269 762.50
## - x12$x  1  293448423 4531524485 762.68
## - x34$x  1  348481100 4586557162 763.13
## - x20$x  1  399855202 4637931263 763.56
## - x28$x  1  431448762 4669524823 763.82
## - x4$x   1  446780372 4684856433 763.94
## - x3$x   1  450667689 4688743750 763.97
## + x26$x  1    1988159 4236087902 764.11
## + x9$x   1    1422762 4236653299 764.12
## + x11$x  1    1422762 4236653299 764.12
## - x21$x  1  688917736 4926993797 765.86
## - x1$x   1  734753020 4972829081 766.21
## - x2$x   1  906154334 5144230395 767.50
## - x10$x  1  909836945 5147913006 767.52
## - x14$x  1  931826879 5169902940 767.68
## - x17$x  1 1308556098 5546632159 770.36
## - x18$x  1 1440643576 5678719637 771.25
## - x19$x  1 1495643702 5733719763 771.62
## - x7$x   1 1664730353 5902806414 772.72
## - x33$x  1 1861052047 6099128108 773.97
## - x25$x  1 3059640151 7297716212 780.78
## - x24$x  1 3255330296 7493406357 781.79
## - x13$x  1 3268400563 7506476624 781.85
## 
## Step:  AIC=760.33
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x10$x + x12$x + 
##     x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + 
##     x23$x + x24$x + x25$x + x27$x + x28$x + x29$x + x31$x + x32$x + 
##     x33$x + x34$x + x35$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x35$x  1   31716636 4291442582 758.61
## - x29$x  1   37485186 4297211131 758.66
## - x8$x   1   95599915 4355325861 759.17
## - x23$x  1  146294866 4406020812 759.61
## - x32$x  1  149675937 4409401883 759.64
## <none>                4259725946 760.33
## - x27$x  1  251445730 4511171676 760.50
## - x31$x  1  297048647 4556774593 760.89
## - x16$x  1  320481955 4580207901 761.08
## - x34$x  1  328777523 4588503469 761.15
## + x22$x  1   21649885 4238076061 762.13
## + x9$x   1    3563260 4256162685 762.29
## + x11$x  1    3563260 4256162685 762.29
## + x26$x  1     438190 4259287756 762.32
## - x12$x  1  492922815 4752648761 762.49
## - x4$x   1  506797414 4766523359 762.60
## - x3$x   1  523508002 4783233947 762.73
## - x28$x  1  665701163 4925427109 763.84
## - x20$x  1  696490868 4956216814 764.08
## - x1$x   1  824810413 5084536359 765.05
## - x2$x   1  888634073 5148360019 765.53
## - x14$x  1  940173231 5199899177 765.90
## - x10$x  1 1019684885 5279410831 766.48
## - x21$x  1 1057620668 5317346613 766.75
## - x17$x  1 1838197759 6097923705 771.96
## - x33$x  1 2185429919 6445155865 774.06
## - x18$x  1 2354986896 6614712842 775.05
## - x19$x  1 2450546894 6710272840 775.59
## - x7$x   1 2801300987 7061026932 777.53
## - x25$x  1 3039096997 7298822942 778.79
## - x24$x  1 3245242447 7504968393 779.85
## - x13$x  1 3856269520 8115995466 782.82
## 
## Step:  AIC=758.61
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x10$x + x12$x + 
##     x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + 
##     x23$x + x24$x + x25$x + x27$x + x28$x + x29$x + x31$x + x32$x + 
##     x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x29$x  1   37382969 4328825551 756.94
## - x8$x   1   64851172 4356293753 757.18
## - x23$x  1  114660139 4406102721 757.61
## - x32$x  1  200931180 4492373762 758.35
## <none>                4291442582 758.61
## - x31$x  1  266527179 4557969761 758.90
## - x27$x  1  272196357 4563638939 758.94
## - x16$x  1  302241796 4593684378 759.19
## + x35$x  1   31716636 4259725946 760.33
## + x9$x   1   25269066 4266173515 760.38
## + x11$x  1   25269066 4266173515 760.38
## + x22$x  1   17275406 4274167176 760.45
## + x26$x  1     176157 4291266425 760.61
## - x12$x  1  477023368 4768465950 760.61
## - x34$x  1  504375945 4795818527 760.83
## - x3$x   1  521462635 4812905217 760.97
## - x4$x   1  560034584 4851477166 761.27
## - x20$x  1  674213408 4965655990 762.15
## - x28$x  1  767188753 5058631335 762.86
## - x2$x   1  900901346 5192343928 763.85
## - x1$x   1 1045916317 5337358899 764.90
## - x14$x  1 1060877791 5352320373 765.00
## - x21$x  1 1082164348 5373606930 765.15
## - x10$x  1 1086644127 5378086709 765.18
## - x17$x  1 1867647847 6159090429 770.34
## - x33$x  1 2354167260 6645609842 773.23
## - x18$x  1 2561767567 6853210148 774.40
## - x19$x  1 2642636980 6934079562 774.84
## - x7$x   1 2932508533 7223951115 776.40
## - x25$x  1 3014779957 7306222539 776.83
## - x24$x  1 3288469958 7579912540 778.22
## - x13$x  1 5339672227 9631114809 787.33
## 
## Step:  AIC=756.94
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x8$x + x10$x + x12$x + 
##     x13$x + x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + 
##     x23$x + x24$x + x25$x + x27$x + x28$x + x31$x + x32$x + x33$x + 
##     x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x8$x   1  152595558 4481421109 756.25
## <none>                4328825551 756.94
## - x23$x  1  238020410 4566845961 756.97
## - x32$x  1  263628990 4592454541 757.18
## - x31$x  1  283436346 4612261897 757.35
## - x27$x  1  329480106 4658305657 757.72
## + x29$x  1   37382969 4291442582 758.61
## - x12$x  1  444678672 4773504223 758.65
## + x35$x  1   31614420 4297211131 758.66
## + x22$x  1   28556115 4300269436 758.69
## + x9$x   1   12894711 4315930840 758.82
## + x11$x  1   12894711 4315930840 758.82
## + x26$x  1    1001026 4327824525 758.93
## - x34$x  1  489092237 4817917788 759.00
## - x16$x  1  516249368 4845074919 759.22
## - x20$x  1  642415208 4971240759 760.20
## - x3$x   1  671119301 4999944852 760.41
## - x28$x  1  736340297 5065165848 760.91
## - x2$x   1  882342600 5211168151 761.99
## - x1$x   1 1009744469 5338570020 762.90
## - x10$x  1 1049715523 5378541074 763.19
## - x4$x   1 1097132447 5425957998 763.52
## - x14$x  1 1260051507 5588877058 764.65
## - x21$x  1 1262949432 5591774983 764.67
## - x17$x  1 1850048140 6178873691 768.46
## - x33$x  1 2339395613 6668221164 771.36
## - x25$x  1 3107660601 7436486152 775.50
## - x18$x  1 3137753242 7466578793 775.65
## - x19$x  1 3286215741 7615041292 776.40
## - x24$x  1 3324088663 7652914214 776.59
## - x7$x   1 3631333415 7960158966 778.08
## - x13$x  1 5489003823 9817829374 786.06
## 
## Step:  AIC=756.25
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + x23$x + 
##     x24$x + x25$x + x27$x + x28$x + x31$x + x32$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x23$x  1  126844344 4608265453 755.31
## - x32$x  1  207621122 4689042231 755.97
## <none>                4481421109 756.25
## - x31$x  1  268976258 4750397367 756.47
## - x12$x  1  305242094 4786663203 756.76
## + x8$x   1  152595558 4328825551 756.94
## + x29$x  1  125127356 4356293753 757.18
## - x27$x  1  368140831 4849561940 757.25
## - x16$x  1  386692188 4868113297 757.40
## + x35$x  1   21115925 4460305184 758.07
## + x9$x   1   16502820 4464918289 758.11
## + x11$x  1   16502820 4464918289 758.11
## + x22$x  1   12473051 4468948058 758.15
## + x26$x  1   12272255 4469148854 758.15
## - x3$x   1  554786128 5036207237 758.69
## - x28$x  1  587145905 5068567014 758.93
## - x20$x  1  735694265 5217115374 760.03
## - x2$x   1  764227482 5245648591 760.24
## - x1$x   1  863452954 5344874063 760.95
## - x34$x  1  932995336 5414416445 761.44
## - x10$x  1  960449023 5441870132 761.63
## - x4$x   1  967882247 5449303356 761.68
## - x17$x  1 1784959873 6266380981 766.99
## - x14$x  1 1814022446 6295443555 767.17
## - x21$x  1 1876482036 6357903145 767.54
## - x33$x  1 2195427173 6676848282 769.40
## - x25$x  1 3029418843 7510839952 773.88
## - x24$x  1 3277258538 7758679647 775.11
## - x18$x  1 4410441862 8891862971 780.29
## - x7$x   1 4444362250 8925783359 780.44
## - x19$x  1 4598392265 9079813374 781.09
## - x13$x  1 5385078125 9866499234 784.24
## 
## Step:  AIC=755.31
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
##     x25$x + x27$x + x28$x + x31$x + x32$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x32$x  1   89913114 4.6982e+09 754.05
## - x31$x  1  145497228 4.7538e+09 754.50
## <none>                4.6083e+09 755.31
## - x16$x  1  294042349 4.9023e+09 755.66
## + x29$x  1  195470195 4.4128e+09 755.67
## + x23$x  1  126844344 4.4814e+09 756.25
## - x27$x  1  374571297 4.9828e+09 756.28
## - x3$x   1  428279819 5.0365e+09 756.69
## - x12$x  1  447593055 5.0559e+09 756.84
## + x26$x  1   44686128 4.5636e+09 756.94
## + x35$x  1   41721354 4.5665e+09 756.97
## + x8$x   1   41419491 4.5668e+09 756.97
## + x9$x   1   24785395 4.5835e+09 757.11
## + x11$x  1   24785395 4.5835e+09 757.11
## + x22$x  1   18127660 4.5901e+09 757.16
## - x28$x  1  540104128 5.1484e+09 757.53
## - x2$x   1  638708939 5.2470e+09 758.25
## - x1$x   1  754261206 5.3625e+09 759.07
## - x20$x  1  766047138 5.3743e+09 759.16
## - x34$x  1  818404052 5.4267e+09 759.53
## - x10$x  1  843781482 5.4520e+09 759.70
## - x4$x   1  844769028 5.4530e+09 759.71
## - x17$x  1 1736064572 6.3443e+09 765.46
## - x21$x  1 2097685378 6.7060e+09 767.57
## - x14$x  1 2114650054 6.7229e+09 767.67
## - x33$x  1 2168438060 6.7767e+09 767.97
## - x24$x  1 3333018255 7.9413e+09 773.99
## - x25$x  1 3333322769 7.9416e+09 774.00
## - x18$x  1 4663815664 9.2721e+09 779.88
## - x7$x   1 4774673705 9.3829e+09 780.33
## - x19$x  1 4836051609 9.4443e+09 780.58
## - x13$x  1 5826679650 1.0435e+10 784.37
## 
## Step:  AIC=754.05
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
##     x25$x + x27$x + x28$x + x31$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x31$x  1  151567025 4.8497e+09 753.26
## - x16$x  1  250749907 4.9489e+09 754.02
## <none>                4.6982e+09 754.05
## - x27$x  1  287874355 4.9861e+09 754.31
## + x29$x  1  184889753 4.5133e+09 754.52
## - x3$x   1  367029545 5.0652e+09 754.91
## - x12$x  1  387656715 5.0858e+09 755.06
## + x26$x  1   96272088 4.6019e+09 755.26
## + x32$x  1   89913114 4.6083e+09 755.31
## + x8$x   1   59097457 4.6391e+09 755.57
## - x28$x  1  480515320 5.1787e+09 755.75
## + x9$x   1   12953615 4.6852e+09 755.94
## + x11$x  1   12953615 4.6852e+09 755.94
## + x22$x  1   10381713 4.6878e+09 755.96
## + x23$x  1    9136335 4.6890e+09 755.97
## + x35$x  1    1596879 4.6966e+09 756.04
## - x2$x   1  559249005 5.2574e+09 756.32
## - x1$x   1  664914458 5.3631e+09 757.08
## - x20$x  1  733738117 5.4319e+09 757.56
## - x4$x   1  754892879 5.4531e+09 757.71
## - x10$x  1  810351669 5.5085e+09 758.10
## - x34$x  1  886377316 5.5846e+09 758.62
## - x17$x  1 1674352704 6.3725e+09 763.63
## - x21$x  1 2053267277 6.7514e+09 765.83
## - x14$x  1 2159146163 6.8573e+09 766.42
## - x33$x  1 2319380481 7.0176e+09 767.30
## - x25$x  1 3446691889 8.1449e+09 772.96
## - x24$x  1 3557695347 8.2559e+09 773.47
## - x18$x  1 4574814944 9.2730e+09 777.89
## - x7$x   1 4689800911 9.3880e+09 778.35
## - x19$x  1 4746388133 9.4446e+09 778.58
## - x13$x  1 7060241079 1.1758e+10 786.91
## 
## Step:  AIC=753.26
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x16$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
##     x25$x + x27$x + x28$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x16$x  1  255096224 5.1048e+09 753.20
## <none>                4.8497e+09 753.26
## - x3$x   1  320483217 5.1702e+09 753.69
## + x31$x  1  151567025 4.6982e+09 754.05
## + x29$x  1  132485839 4.7173e+09 754.20
## - x27$x  1  398007742 5.2478e+09 754.25
## + x8$x   1  113938581 4.7358e+09 754.35
## + x26$x  1  109626027 4.7401e+09 754.39
## - x28$x  1  424977505 5.2747e+09 754.45
## + x32$x  1   95982910 4.7538e+09 754.50
## + x22$x  1   64100120 4.7856e+09 754.75
## - x12$x  1  488371583 5.3381e+09 754.90
## + x23$x  1   14140559 4.8356e+09 755.14
## + x35$x  1   11216529 4.8385e+09 755.17
## + x9$x   1    2032731 4.8477e+09 755.24
## + x11$x  1    2032731 4.8477e+09 755.24
## - x1$x   1  574683489 5.4244e+09 755.51
## - x2$x   1  599760629 5.4495e+09 755.69
## - x20$x  1  715960899 5.5657e+09 756.49
## - x10$x  1  717820453 5.5676e+09 756.50
## - x34$x  1  745228016 5.5950e+09 756.69
## - x4$x   1  757122240 5.6069e+09 756.77
## - x17$x  1 1945476689 6.7952e+09 764.07
## - x21$x  1 1974787719 6.8245e+09 764.24
## - x14$x  1 2032629069 6.8824e+09 764.56
## - x33$x  1 2169128101 7.0189e+09 765.30
## - x25$x  1 3394182933 8.2439e+09 771.42
## - x24$x  1 3464596817 8.3143e+09 771.74
## - x18$x  1 4831892750 9.6816e+09 777.52
## - x7$x   1 4870671098 9.7204e+09 777.68
## - x19$x  1 4980266323 9.8300e+09 778.10
## - x13$x  1 6912068507 1.1762e+10 784.92
## 
## Step:  AIC=753.2
## y_x ~ x1$x + x2$x + x3$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + x25$x + 
##     x27$x + x28$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## - x3$x   1  172146767 5.2770e+09 752.46
## <none>                5.1048e+09 753.20
## + x16$x  1  255096224 4.8497e+09 753.26
## - x27$x  1  285212000 5.3901e+09 753.27
## + x29$x  1  219110159 4.8857e+09 753.54
## + x31$x  1  155913341 4.9489e+09 754.02
## + x26$x  1  117308627 4.9875e+09 754.32
## - x12$x  1  463182889 5.5680e+09 754.50
## - x28$x  1  482528992 5.5874e+09 754.64
## + x32$x  1   50728844 5.0541e+09 754.82
## + x35$x  1   48799129 5.0560e+09 754.84
## + x8$x   1   45896815 5.0589e+09 754.86
## + x23$x  1   32739206 5.0721e+09 754.96
## - x2$x   1  550091527 5.6549e+09 755.09
## + x9$x   1    3701586 5.1011e+09 755.18
## + x11$x  1    3701586 5.1011e+09 755.18
## + x22$x  1     628492 5.1042e+09 755.20
## - x10$x  1  618691146 5.7235e+09 755.55
## - x34$x  1  646212113 5.7511e+09 755.73
## - x20$x  1  658387723 5.7632e+09 755.81
## - x4$x   1  917918545 6.0228e+09 757.49
## - x1$x   1  970166345 6.0750e+09 757.81
## - x17$x  1 1692303364 6.7971e+09 762.08
## - x21$x  1 2120408338 7.2253e+09 764.40
## - x33$x  1 2223160543 7.3280e+09 764.94
## - x24$x  1 3386340312 8.4912e+09 770.54
## - x25$x  1 3512674607 8.6175e+09 771.10
## - x14$x  1 4667504960 9.7723e+09 775.88
## - x18$x  1 4690297442 9.7951e+09 775.97
## - x7$x   1 4810609503 9.9155e+09 776.43
## - x19$x  1 4836492902 9.9413e+09 776.53
## - x13$x  1 6815510546 1.1920e+10 783.43
## 
## Step:  AIC=752.46
## y_x ~ x1$x + x2$x + x4$x + x7$x + x10$x + x12$x + x13$x + x14$x + 
##     x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + x25$x + x27$x + 
##     x28$x + x33$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## <none>                5.2770e+09 752.46
## + x29$x  1  209703745 5.0673e+09 752.92
## - x2$x   1  379556768 5.6565e+09 753.10
## - x27$x  1  393047716 5.6700e+09 753.19
## + x3$x   1  172146767 5.1048e+09 753.20
## + x5$x   1  172146767 5.1048e+09 753.20
## + x6$x   1  172146767 5.1048e+09 753.20
## + x31$x  1  116310107 5.1607e+09 753.62
## + x16$x  1  106759774 5.1702e+09 753.69
## - x28$x  1  484293413 5.7613e+09 753.80
## + x26$x  1   87175097 5.1898e+09 753.83
## - x34$x  1  496530734 5.7735e+09 753.88
## + x35$x  1   75637798 5.2014e+09 753.91
## + x23$x  1   58004037 5.2190e+09 754.04
## + x8$x   1   41653935 5.2353e+09 754.16
## - x10$x  1  549351183 5.8263e+09 754.23
## + x32$x  1   23897015 5.2531e+09 754.29
## + x9$x   1    9917175 5.2671e+09 754.39
## + x11$x  1    9917175 5.2671e+09 754.39
## + x22$x  1    8413238 5.2686e+09 754.40
## - x12$x  1  752326579 6.0293e+09 755.53
## - x4$x   1  767831983 6.0448e+09 755.63
## - x20$x  1  785370790 6.0624e+09 755.74
## - x1$x   1 1167207409 6.4442e+09 758.06
## - x17$x  1 1859734558 7.1367e+09 761.94
## - x33$x  1 2052242768 7.3292e+09 762.95
## - x24$x  1 3380845127 8.6578e+09 769.28
## - x25$x  1 3616547073 8.8935e+09 770.30
## - x21$x  1 3854815767 9.1318e+09 771.30
## - x14$x  1 4740562894 1.0018e+10 774.82
## - x18$x  1 4811377888 1.0088e+10 775.09
## - x19$x  1 4903647745 1.0181e+10 775.43
## - x7$x   1 4929257866 1.0206e+10 775.53
## - x13$x  1 7129247097 1.2406e+10 782.95
#hasil
lm(formula = y_x ~ x1$x + x2$x + x4$x + x7$x + x10$x + x12$x + 
     x13$x + x14$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
     x25$x + x27$x + x28$x + x33$x + x34$x)
## 
## Call:
## lm(formula = y_x ~ x1$x + x2$x + x4$x + x7$x + x10$x + x12$x + 
##     x13$x + x14$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
##     x25$x + x27$x + x28$x + x33$x + x34$x)
## 
## Coefficients:
## (Intercept)         x1$x         x2$x         x4$x         x7$x  
##  114692.419       10.702      -16.665     1461.718    21251.091  
##       x10$x        x12$x        x13$x        x14$x        x17$x  
##       1.158      223.326        1.033      -14.512     1657.706  
##       x18$x        x19$x        x20$x        x21$x        x24$x  
##  -22601.643   -23024.615     -193.912      718.521       48.719  
##       x25$x        x27$x        x28$x        x33$x        x34$x  
##     -40.576       34.673      -19.963     -120.294        1.668
# 3. Seleksi variabel hasil seleksi
var_sig_1 <- lm(y_x~x1$x+x2$x+x4$x+x7$x+x10$x+x12$x+x13$x+
                  x14$x+x17$x+x18$x+x19$x+x20$x+x21$x+x24$x+
                  x25$x+x27$x+x28$x+x33$x+x34$x+x35$x)
summary(var_sig_1) #signifikan x7,x13,x14,x18,x19,x21,x24,x25
## 
## Call:
## lm(formula = y_x ~ x1$x + x2$x + x4$x + x7$x + x10$x + x12$x + 
##     x13$x + x14$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
##     x25$x + x27$x + x28$x + x33$x + x34$x + x35$x)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -25207.7  -8027.3     87.7   8455.4  24511.9 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.155e+05  7.676e+03  15.051 2.93e-11 ***
## x1$x         9.337e+00  6.128e+00   1.524  0.14595    
## x2$x        -1.435e+01  1.567e+01  -0.916  0.37269    
## x4$x         1.113e+03  1.159e+03   0.961  0.35014    
## x7$x         2.083e+04  5.363e+03   3.884  0.00119 ** 
## x10$x        1.122e+00  8.676e-01   1.293  0.21330    
## x12$x        2.063e+02  1.465e+02   1.408  0.17702    
## x13$x        1.103e+00  2.569e-01   4.295  0.00049 ***
## x14$x       -1.410e+01  3.779e+00  -3.731  0.00166 ** 
## x17$x        1.553e+03  7.045e+02   2.204  0.04156 *  
## x18$x       -2.204e+04  5.809e+03  -3.795  0.00145 ** 
## x19$x       -2.247e+04  5.859e+03  -3.835  0.00133 ** 
## x20$x       -1.740e+02  1.275e+02  -1.364  0.19023    
## x21$x        6.805e+02  2.164e+02   3.145  0.00590 ** 
## x24$x        4.858e+01  1.466e+01   3.314  0.00410 ** 
## x25$x       -4.031e+01  1.181e+01  -3.412  0.00332 ** 
## x27$x        3.153e+01  3.124e+01   1.009  0.32696    
## x28$x       -1.768e+01  1.652e+01  -1.070  0.29944    
## x33$x       -1.293e+02  4.984e+01  -2.594  0.01892 *  
## x34$x        1.915e+00  1.400e+00   1.367  0.18929    
## x35$x       -2.962e-01  5.958e-01  -0.497  0.62541    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 17490 on 17 degrees of freedom
## Multiple R-squared:  0.9905, Adjusted R-squared:  0.9794 
## F-statistic: 89.06 on 20 and 17 DF,  p-value: 1.989e-13
var_sig_2 <- lm(y_x~x1$x+x2$x+x4$x+x7$x+x10$x+x12$x+x13$x+
                  x14$x+x17$x+x18$x+x19$x+x20$x+x21$x+x24$x+
                  x25$x+x27$x+x28$x+x33$x+x34$x)
summary(var_sig_2) #signifikan x7,x13,x14,x18,x19,x21,x24,x25
## 
## Call:
## lm(formula = y_x ~ x1$x + x2$x + x4$x + x7$x + x10$x + x12$x + 
##     x13$x + x14$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + 
##     x25$x + x27$x + x28$x + x33$x + x34$x)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -25292.6  -8144.7   -391.5   7785.3  26311.2 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.147e+05  7.329e+03  15.650 6.33e-12 ***
## x1$x         1.070e+01  5.363e+00   1.995 0.061368 .  
## x2$x        -1.667e+01  1.465e+01  -1.138 0.270106    
## x4$x         1.462e+03  9.032e+02   1.618 0.122973    
## x7$x         2.125e+04  5.183e+03   4.100 0.000672 ***
## x10$x        1.158e+00  8.463e-01   1.369 0.187876    
## x12$x        2.233e+02  1.394e+02   1.602 0.126572    
## x13$x        1.032e+00  2.094e-01   4.931 0.000108 ***
## x14$x       -1.451e+01  3.609e+00  -4.021 0.000801 ***
## x17$x        1.658e+03  6.582e+02   2.519 0.021459 *  
## x18$x       -2.260e+04  5.579e+03  -4.051 0.000749 ***
## x19$x       -2.302e+04  5.630e+03  -4.090 0.000688 ***
## x20$x       -1.939e+02  1.185e+02  -1.637 0.119048    
## x21$x        7.185e+02  1.982e+02   3.626 0.001932 ** 
## x24$x        4.872e+01  1.435e+01   3.396 0.003221 ** 
## x25$x       -4.058e+01  1.155e+01  -3.512 0.002488 ** 
## x27$x        3.467e+01  2.995e+01   1.158 0.262044    
## x28$x       -1.996e+01  1.553e+01  -1.285 0.214987    
## x33$x       -1.203e+02  4.547e+01  -2.646 0.016434 *  
## x34$x        1.668e+00  1.281e+00   1.301 0.209528    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 17120 on 18 degrees of freedom
## Multiple R-squared:  0.9904, Adjusted R-squared:  0.9803 
## F-statistic: 97.83 on 19 and 18 DF,  p-value: 2.208e-14
var_sig_3 <- lm(y_x~x1$x+x4$x+x7$x+x10$x+x12$x+x13$x+
                  x14$x+x17$x+x18$x+x19$x+x20$x+x21$x+x24$x+
                  x25$x+x27$x+x28$x+x33$x+x34$x)
summary(var_sig_3) #signifikan x7,x13,x14,x18,x19,x21,x24,x25
## 
## Call:
## lm(formula = y_x ~ x1$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + x25$x + 
##     x27$x + x28$x + x33$x + x34$x)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -26743.9  -7578.6    238.3   8728.9  28424.2 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.134e+05  7.291e+03  15.549 2.92e-12 ***
## x1$x         5.869e+00  3.300e+00   1.778 0.091346 .  
## x4$x         1.179e+03  8.750e+02   1.347 0.193766    
## x7$x         1.860e+04  4.664e+03   3.988 0.000788 ***
## x10$x        1.132e+00  8.525e-01   1.328 0.199939    
## x12$x        1.711e+02  1.326e+02   1.290 0.212640    
## x13$x        1.001e+00  2.091e-01   4.786 0.000128 ***
## x14$x       -1.284e+01  3.321e+00  -3.866 0.001041 ** 
## x17$x        1.343e+03  6.018e+02   2.231 0.037895 *  
## x18$x       -1.968e+04  4.991e+03  -3.943 0.000873 ***
## x19$x       -2.008e+04  5.039e+03  -3.985 0.000793 ***
## x20$x       -1.601e+02  1.156e+02  -1.385 0.181977    
## x21$x        6.231e+02  1.809e+02   3.444 0.002719 ** 
## x24$x        4.503e+01  1.408e+01   3.198 0.004740 ** 
## x25$x       -3.679e+01  1.115e+01  -3.300 0.003765 ** 
## x27$x        3.321e+01  3.015e+01   1.101 0.284481    
## x28$x       -1.458e+01  1.491e+01  -0.978 0.340479    
## x33$x       -1.098e+02  4.487e+01  -2.448 0.024268 *  
## x34$x        1.475e+00  1.280e+00   1.152 0.263540    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 17250 on 19 degrees of freedom
## Multiple R-squared:  0.9897, Adjusted R-squared:   0.98 
## F-statistic: 101.6 on 18 and 19 DF,  p-value: 3.96e-15
var_sig_4 <- lm(y_x~x1$x+x4$x+x7$x+x10$x+x12$x+x13$x+
                  x14$x+x17$x+x18$x+x19$x+x20$x+x21$x+x24$x+
                  x25$x+x27$x+x33$x+x34$x)
summary(var_sig_4) #signifikan x7,x13,x14,x18,x19,x21,x24,x25
## 
## Call:
## lm(formula = y_x ~ x1$x + x4$x + x7$x + x10$x + x12$x + x13$x + 
##     x14$x + x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + x25$x + 
##     x27$x + x33$x + x34$x)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -24044.9  -8264.8    -41.4   8474.1  29903.4 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.139e+05  7.264e+03  15.677 1.06e-12 ***
## x1$x         4.832e+00  3.122e+00   1.548 0.137321    
## x4$x         8.068e+02  7.871e+02   1.025 0.317599    
## x7$x         1.720e+04  4.434e+03   3.879 0.000934 ***
## x10$x        1.052e+00  8.476e-01   1.241 0.229065    
## x12$x        1.233e+02  1.232e+02   1.001 0.328762    
## x13$x        9.853e-01  2.083e-01   4.731 0.000128 ***
## x14$x       -1.205e+01  3.218e+00  -3.744 0.001278 ** 
## x17$x        1.193e+03  5.814e+02   2.053 0.053433 .  
## x18$x       -1.820e+04  4.751e+03  -3.831 0.001044 ** 
## x19$x       -1.863e+04  4.811e+03  -3.873 0.000947 ***
## x20$x       -1.292e+02  1.110e+02  -1.163 0.258417    
## x21$x        5.941e+02  1.783e+02   3.333 0.003318 ** 
## x24$x        3.925e+01  1.277e+01   3.074 0.005986 ** 
## x25$x       -3.245e+01  1.022e+01  -3.177 0.004743 ** 
## x27$x        3.507e+01  3.005e+01   1.167 0.257018    
## x33$x       -1.052e+02  4.457e+01  -2.360 0.028538 *  
## x34$x        1.822e+00  1.228e+00   1.483 0.153563    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 17240 on 20 degrees of freedom
## Multiple R-squared:  0.9892, Adjusted R-squared:   0.98 
## F-statistic: 107.8 on 17 and 20 DF,  p-value: 5.89e-16
var_sig_5 <- lm(y_x~x1$x+x4$x+x7$x+x10$x+x13$x+
                  x14$x+x17$x+x18$x+x19$x+x20$x+x21$x+x24$x+
                  x25$x+x27$x+x33$x+x34$x)
summary(var_sig_5) #signifikan x7,x13,x14,x18,x19,x21,x24,x25,x34
## 
## Call:
## lm(formula = y_x ~ x1$x + x4$x + x7$x + x10$x + x13$x + x14$x + 
##     x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + x25$x + x27$x + 
##     x33$x + x34$x)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -22815.5  -9634.5   -758.5   7766.0  30639.9 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.142e+05  7.258e+03  15.732 4.28e-13 ***
## x1$x         4.559e+00  3.110e+00   1.466 0.157493    
## x4$x         4.329e+02  6.929e+02   0.625 0.538825    
## x7$x         1.496e+04  3.829e+03   3.907 0.000811 ***
## x10$x        8.902e-01  8.321e-01   1.070 0.296857    
## x13$x        9.852e-01  2.083e-01   4.730 0.000114 ***
## x14$x       -1.084e+01  2.983e+00  -3.634 0.001553 ** 
## x17$x        1.023e+03  5.561e+02   1.840 0.079881 .  
## x18$x       -1.567e+04  4.024e+03  -3.894 0.000836 ***
## x19$x       -1.610e+04  4.093e+03  -3.934 0.000761 ***
## x20$x       -1.470e+02  1.096e+02  -1.341 0.194194    
## x21$x        5.290e+02  1.660e+02   3.187 0.004436 ** 
## x24$x        3.500e+01  1.204e+01   2.907 0.008439 ** 
## x25$x       -2.912e+01  9.660e+00  -3.015 0.006595 ** 
## x27$x        2.493e+01  2.830e+01   0.881 0.388256    
## x33$x       -1.064e+02  4.456e+01  -2.387 0.026473 *  
## x34$x        2.636e+00  9.205e-01   2.864 0.009298 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 17240 on 21 degrees of freedom
## Multiple R-squared:  0.9887, Adjusted R-squared:   0.98 
## F-statistic: 114.4 on 16 and 21 DF,  p-value: < 2.2e-16
var_sig_6 <- lm(y_x~x1$x+x4$x+x7$x+x10$x+x13$x+
                  x14$x+x17$x+x18$x+x19$x+x20$x+x21$x+x24$x+
                  x25$x+x33$x+x34$x)
summary(var_sig_6) #signifikan x7,x13,x14,x18,x19,x21,x25,x34
## 
## Call:
## lm(formula = y_x ~ x1$x + x4$x + x7$x + x10$x + x13$x + x14$x + 
##     x17$x + x18$x + x19$x + x20$x + x21$x + x24$x + x25$x + x33$x + 
##     x34$x)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -22589 -10456    155   6506  31826 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.146e+05  7.202e+03  15.917 1.48e-13 ***
## x1$x         4.030e+00  3.036e+00   1.328 0.197935    
## x4$x         1.853e+02  6.301e+02   0.294 0.771455    
## x7$x         1.469e+04  3.798e+03   3.869 0.000829 ***
## x10$x        1.012e+00  8.163e-01   1.240 0.227917    
## x13$x        1.004e+00  2.061e-01   4.871 7.21e-05 ***
## x14$x       -1.073e+01  2.965e+00  -3.618 0.001525 ** 
## x17$x        7.719e+02  4.748e+02   1.626 0.118225    
## x18$x       -1.512e+04  3.956e+03  -3.823 0.000927 ***
## x19$x       -1.558e+04  4.029e+03  -3.866 0.000835 ***
## x20$x       -1.784e+02  1.031e+02  -1.731 0.097531 .  
## x21$x        5.970e+02  1.462e+02   4.083 0.000493 ***
## x24$x        3.331e+01  1.183e+01   2.816 0.010056 *  
## x25$x       -2.761e+01  9.458e+00  -2.919 0.007945 ** 
## x33$x       -1.018e+02  4.403e+01  -2.312 0.030493 *  
## x34$x        3.039e+00  7.947e-01   3.824 0.000925 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 17150 on 22 degrees of freedom
## Multiple R-squared:  0.9882, Adjusted R-squared:  0.9802 
## F-statistic: 123.3 on 15 and 22 DF,  p-value: < 2.2e-16
var_sig_7 <- lm(y_x~x1$x+x4$x+x7$x+x13$x+x14$x+x17$x+x18$x+x19$x
                +x20$x+x21$x+x24$x+x25$x+x33$x+x34$x)
summary(var_sig_7) #signifikan x7,x13,x14,x18,x19,x21,x25,x34
## 
## Call:
## lm(formula = y_x ~ x1$x + x4$x + x7$x + x13$x + x14$x + x17$x + 
##     x18$x + x19$x + x20$x + x21$x + x24$x + x25$x + x33$x + x34$x)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -21092 -10013    272   6927  34331 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.132e+05  7.184e+03  15.750  8.2e-14 ***
## x1$x         4.019e+00  3.071e+00   1.309 0.203616    
## x4$x        -1.762e+02  5.651e+02  -0.312 0.757950    
## x7$x         1.304e+04  3.598e+03   3.625 0.001421 ** 
## x13$x        9.244e-01  1.981e-01   4.665 0.000107 ***
## x14$x       -1.011e+01  2.957e+00  -3.419 0.002349 ** 
## x17$x        4.492e+02  4.017e+02   1.118 0.275102    
## x18$x       -1.317e+04  3.671e+03  -3.588 0.001556 ** 
## x19$x       -1.357e+04  3.733e+03  -3.636 0.001384 ** 
## x20$x       -2.046e+02  1.021e+02  -2.005 0.056921 .  
## x21$x        5.422e+02  1.410e+02   3.845 0.000826 ***
## x24$x        3.233e+01  1.194e+01   2.708 0.012547 *  
## x25$x       -2.717e+01  9.561e+00  -2.842 0.009238 ** 
## x33$x       -8.397e+01  4.210e+01  -1.995 0.058059 .  
## x34$x        2.923e+00  7.983e-01   3.662 0.001299 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 17350 on 23 degrees of freedom
## Multiple R-squared:  0.9874, Adjusted R-squared:  0.9798 
## F-statistic: 128.9 on 14 and 23 DF,  p-value: < 2.2e-16
var_sig_8 <- lm(y_x~x1$x+x7$x+x13$x+x14$x+x17$x+x18$x+x19$x
                +x20$x+x21$x+x24$x+x25$x+x33$x+x34$x)
summary(var_sig_8) #signifikan x7,x13,x14,x18,x19,x21,x25,x34
## 
## Call:
## lm(formula = y_x ~ x1$x + x7$x + x13$x + x14$x + x17$x + x18$x + 
##     x19$x + x20$x + x21$x + x24$x + x25$x + x33$x + x34$x)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -21449 -10307  -1380   7324  33754 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.131e+05  7.047e+03  16.052 2.46e-14 ***
## x1$x         4.165e+00  2.978e+00   1.399 0.174731    
## x7$x         1.329e+04  3.438e+03   3.867 0.000737 ***
## x13$x        9.197e-01  1.938e-01   4.745 7.94e-05 ***
## x14$x       -1.026e+01  2.861e+00  -3.587 0.001484 ** 
## x17$x        5.008e+02  3.591e+02   1.394 0.175976    
## x18$x       -1.348e+04  3.469e+03  -3.886 0.000703 ***
## x19$x       -1.388e+04  3.531e+03  -3.930 0.000629 ***
## x20$x       -2.069e+02  9.990e+01  -2.071 0.049259 *  
## x21$x        5.519e+02  1.349e+02   4.092 0.000417 ***
## x24$x        3.251e+01  1.170e+01   2.780 0.010409 *  
## x25$x       -2.724e+01  9.378e+00  -2.904 0.007781 ** 
## x33$x       -8.327e+01  4.124e+01  -2.019 0.054772 .  
## x34$x        2.909e+00  7.819e-01   3.720 0.001065 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 17020 on 24 degrees of freedom
## Multiple R-squared:  0.9874, Adjusted R-squared:  0.9805 
## F-statistic: 144.3 on 13 and 24 DF,  p-value: < 2.2e-16
var_sig_9 <- lm(y_x~x1$x+x7$x+x13$x+x14$x+x18$x+x19$x
                +x20$x+x21$x+x24$x+x25$x+x33$x+x34$x)
summary(var_sig_9) #signifikan x7,x13,x14,x18,x19,x21,x25,x34
## 
## Call:
## lm(formula = y_x ~ x1$x + x7$x + x13$x + x14$x + x18$x + x19$x + 
##     x20$x + x21$x + x24$x + x25$x + x33$x + x34$x)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -23027 -11137   -219   8748  35613 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.115e+05  7.080e+03  15.748 1.74e-14 ***
## x1$x         6.585e+00  2.465e+00   2.672 0.013092 *  
## x7$x         1.233e+04  3.431e+03   3.594 0.001393 ** 
## x13$x        8.172e-01  1.827e-01   4.473 0.000146 ***
## x14$x       -1.006e+01  2.911e+00  -3.458 0.001964 ** 
## x18$x       -1.207e+04  3.379e+03  -3.570 0.001479 ** 
## x19$x       -1.250e+04  3.453e+03  -3.619 0.001308 ** 
## x20$x       -2.299e+02  1.004e+02  -2.291 0.030673 *  
## x21$x        5.093e+02  1.338e+02   3.806 0.000814 ***
## x24$x        3.063e+01  1.184e+01   2.588 0.015866 *  
## x25$x       -2.492e+01  9.402e+00  -2.650 0.013741 *  
## x33$x       -6.767e+01  4.044e+01  -1.674 0.106693    
## x34$x        2.619e+00  7.679e-01   3.411 0.002206 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 17340 on 25 degrees of freedom
## Multiple R-squared:  0.9863, Adjusted R-squared:  0.9798 
## F-statistic: 150.5 on 12 and 25 DF,  p-value: < 2.2e-16
var_sig_10 <- lm(y_x~x1$x+x7$x+x13$x+x14$x+x18$x+x19$x
                 +x20$x+x21$x+x24$x+x25$x+x34$x)
summary(var_sig_10) #signifikan x7,x13,x14,x18,x19,x20,x21,x34
## 
## Call:
## lm(formula = y_x ~ x1$x + x7$x + x13$x + x14$x + x18$x + x19$x + 
##     x20$x + x21$x + x24$x + x25$x + x34$x)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -28451  -8927  -3035  10740  41140 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.075e+05  6.897e+03  15.589 1.04e-14 ***
## x1$x         4.553e+00  2.218e+00   2.053  0.05030 .  
## x7$x         9.040e+03  2.907e+03   3.110  0.00450 ** 
## x13$x        5.170e-01  3.590e-02  14.400 6.67e-14 ***
## x14$x       -7.808e+00  2.668e+00  -2.927  0.00702 ** 
## x18$x       -8.901e+03  2.896e+03  -3.073  0.00492 ** 
## x19$x       -9.262e+03  2.958e+03  -3.130  0.00428 ** 
## x20$x       -3.122e+02  9.049e+01  -3.450  0.00193 ** 
## x21$x        4.474e+02  1.330e+02   3.364  0.00239 ** 
## x24$x        3.231e+01  1.219e+01   2.650  0.01353 *  
## x25$x       -2.489e+01  9.722e+00  -2.560  0.01663 *  
## x34$x        2.494e+00  7.903e-01   3.156  0.00402 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 17930 on 26 degrees of freedom
## Multiple R-squared:  0.9848, Adjusted R-squared:  0.9784 
## F-statistic: 153.3 on 11 and 26 DF,  p-value: < 2.2e-16
var_sig_11 <- lm(y_x~x7$x+x13$x+x14$x+x18$x+x19$x
                 +x20$x+x21$x+x24$x+x25$x+x34$x)
summary(var_sig_11) #signifikan x7,x13,x14,x18,x19,x20,x21,x24,x25,x34
## 
## Call:
## lm(formula = y_x ~ x7$x + x13$x + x14$x + x18$x + x19$x + x20$x + 
##     x21$x + x24$x + x25$x + x34$x)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -28708 -10103  -1656  10669  43594 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  1.078e+05  7.295e+03  14.772 1.86e-14 ***
## x7$x         8.252e+03  3.048e+03   2.707  0.01163 *  
## x13$x        5.733e-01  2.453e-02  23.365  < 2e-16 ***
## x14$x       -7.224e+00  2.806e+00  -2.575  0.01584 *  
## x18$x       -8.090e+03  3.035e+03  -2.666  0.01281 *  
## x19$x       -8.465e+03  3.103e+03  -2.728  0.01106 *  
## x20$x       -3.019e+02  9.558e+01  -3.159  0.00388 ** 
## x21$x        4.493e+02  1.407e+02   3.194  0.00355 ** 
## x24$x        3.818e+01  1.254e+01   3.044  0.00515 ** 
## x25$x       -3.011e+01  9.926e+00  -3.033  0.00529 ** 
## x34$x        2.889e+00  8.108e-01   3.563  0.00139 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 18960 on 27 degrees of freedom
## Multiple R-squared:  0.9824, Adjusted R-squared:  0.9758 
## F-statistic: 150.3 on 10 and 27 DF,  p-value: < 2.2e-16
cek2<-step(lm(y_x~x7$x+x13$x+x14$x+x18$x+x19$x
              +x20$x+x21$x+x24$x+x25$x+x34$x),direction="backward")
## Start:  AIC=757.64
## y_x ~ x7$x + x13$x + x14$x + x18$x + x19$x + x20$x + x21$x + 
##     x24$x + x25$x + x34$x
## 
##         Df  Sum of Sq        RSS    AIC
## <none>                9.7102e+09 757.64
## - x14$x  1 2.3840e+09 1.2094e+10 763.98
## - x18$x  1 2.5555e+09 1.2266e+10 764.51
## - x7$x   1 2.6352e+09 1.2345e+10 764.76
## - x19$x  1 2.6772e+09 1.2387e+10 764.89
## - x25$x  1 3.3093e+09 1.3020e+10 766.78
## - x24$x  1 3.3333e+09 1.3044e+10 766.85
## - x20$x  1 3.5879e+09 1.3298e+10 767.59
## - x21$x  1 3.6687e+09 1.3379e+10 767.82
## - x34$x  1 4.5650e+09 1.4275e+10 770.28
## - x13$x  1 1.9634e+11 2.0605e+11 871.72