R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
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> z <- c(97.8,107.4,117.5,105.6,97.4,99.5,98.0,104.3,100.6,101.1,103.9,96.9,95.5,108.4,117.0,103.8,100.8,110.6,104.0,112.6,107.3,98.9,109.8,104.9,102.2,123.9,124.9,112.7,121.9,100.6,104.3,120.4,107.5,102.9,125.6,107.5,108.8,128.4,121.1,119.5,128.7,108.7,105.5,119.8,111.3,110.6,120.1,97.5,107.7,127.3,117.2,119.8,116.2,111.0,112.4,130.6,109.1,118.8,123.9,101.6,112.8,128.0,129.6,125.8,119.5,115.7,113.6,129.7,112.0,116.8,127.0,112.1,114.2,121.1,131.6,125.0,120.4,117.7,117.5,120.6,127.5,112.3,124.5,115.2,105.4)
> y <- c(78.4,114.6,113.3,117.0,99.6,99.4,101.9,115.2,108.5,113.8,121.0,92.2,90.2,101.5,126.6,93.9,89.8,93.4,101.5,110.4,105.9,108.4,113.9,86.1,69.4,101.2,100.5,98.0,106.6,90.1,96.9,125.9,112.0,100.0,123.9,79.8,83.4,113.6,112.9,104.0,109.9,99.0,106.3,128.9,111.1,102.9,130.0,87.0,87.5,117.6,103.4,110.8,112.6,102.5,112.4,135.6,105.1,127.7,137.0,91.0,90.5,122.4,123.3,124.3,120.0,118.1,119.0,142.7,123.6,129.6,151.6,110.4,99.2,130.5,136.2,129.7,128.0,121.6,135.8,143.8,147.5,136.2,156.6,123.3,100.4)
> x <- c(90.7,94.3,104.6,111.1,110.8,107.2,99.0,99.0,91.0,96.2,96.9,96.2,100.1,99.0,115.4,106.9,107.1,99.3,99.2,108.3,105.6,99.5,107.4,93.1,88.1,110.7,113.1,99.6,93.6,98.6,99.6,114.3,107.8,101.2,112.5,100.5,93.9,116.2,112.0,106.4,95.7,96.0,95.8,103.0,102.2,98.4,111.4,86.6,91.3,107.9,101.8,104.4,93.4,100.1,98.5,112.9,101.4,107.1,110.8,90.3,95.5,111.4,113.0,107.5,95.9,106.3,105.2,117.2,106.9,108.2,113.0,97.2,99.9,108.1,118.1,109.1,93.3,112.1,111.8,112.5,116.3,110.3,117.1,103.4,96.2)
> par7 = 'Consumptiegoederen'
> par6 = 'Investeringsgoederen'
> par5 = 'Intermediaire goederen'
> par4 = 'Y'
> par3 = 'Y'
> par2 = '50'
> par1 = '50'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> x <- array(x,dim=c(length(x),1))
> colnames(x) <- par5
> y <- array(y,dim=c(length(y),1))
> colnames(y) <- par6
> z <- array(z,dim=c(length(z),1))
> colnames(z) <- par7
> d <- data.frame(cbind(z,y,x))
> colnames(d) <- list(par7,par6,par5)
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1>500) par1 <- 500
> if (par2>500) par2 <- 500
> if (par1<10) par1 <- 10
> if (par2<10) par2 <- 10
> library(GenKern)
Loading required package: KernSmooth
KernSmooth 2.22 installed
Copyright M. P. Wand 1997

Loading GenKern version 1.1
Copyright Lucy and Aykroyd 2000
last update October 2004
requires KernSmooth


Package GenKern installed

> library(lattice)
> panel.hist <- function(x, ...)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(usr[1:2], 0, 1.5) )
+ h <- hist(x, plot = FALSE)
+ breaks <- h$breaks; nB <- length(breaks)
+ y <- h$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='black', ...)
+ }
> postscript(file="/var/www/html/rcomp/tmp/1dfrk1226502236.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=-45, y=45, z=35),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/24o9m1226502236.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=45, z=25),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3vv681226502236.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=-25, z=90),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4kg9s1226502236.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(d,diag.panel=panel.hist)
> dev.off()
null device 
          1 
> x <- as.vector(x)
> y <- as.vector(y)
> z <- as.vector(z)
> postscript(file="/var/www/html/rcomp/tmp/5zzx51226502236.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=cor(x,y), xbandwidth=dpik(x), ybandwidth=dpik(y))
> image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,y)',xlab=par5,ylab=par6)
> if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
> if (par4=='Y') points(x,y)
> (r<-lm(y ~ x))

Call:
lm(formula = y ~ x)

Coefficients:
(Intercept)            x  
    -47.618        1.539  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6iq2h1226502236.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(y,z, xgridsize=par1, ygridsize=par2, correlation=cor(y,z), xbandwidth=dpik(y), ybandwidth=dpik(z))
> op
$xords
 [1]  56.54390  58.84823  61.15256  63.45689  65.76122  68.06555  70.36988
 [8]  72.67421  74.97854  77.28288  79.58721  81.89154  84.19587  86.50020
[15]  88.80453  91.10886  93.41319  95.71752  98.02185 100.32618 102.63051
[22] 104.93484 107.23917 109.54350 111.84783 114.15217 116.45650 118.76083
[29] 121.06516 123.36949 125.67382 127.97815 130.28248 132.58681 134.89114
[36] 137.19547 139.49980 141.80413 144.10846 146.41279 148.71712 151.02146
[43] 153.32579 155.63012 157.93445 160.23878 162.54311 164.84744 167.15177
[50] 169.45610

$yords
 [1]  88.52664  89.54801  90.56937  91.59073  92.61209  93.63345  94.65481
 [8]  95.67617  96.69754  97.71890  98.74026  99.76162 100.78298 101.80434
[15] 102.82570 103.84707 104.86843 105.88979 106.91115 107.93251 108.95387
[22] 109.97523 110.99660 112.01796 113.03932 114.06068 115.08204 116.10340
[29] 117.12477 118.14613 119.16749 120.18885 121.21021 122.23157 123.25293
[36] 124.27430 125.29566 126.31702 127.33838 128.35974 129.38110 130.40246
[43] 131.42383 132.44519 133.46655 134.48791 135.50927 136.53063 137.55199
[50] 138.57336

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 7.022338e-04 8.953012e-04 1.167850e-03 1.569664e-03 2.136515e-03
 [2,] 1.100056e-03 1.359627e-03 1.666543e-03 2.081624e-03 2.682486e-03
 [3,] 1.668452e-03 2.072952e-03 2.480693e-03 2.929319e-03 3.509574e-03
 [4,] 2.403410e-03 3.054379e-03 3.686345e-03 4.277028e-03 4.876888e-03
 [5,] 3.300376e-03 4.291396e-03 5.293223e-03 6.207306e-03 6.992276e-03
 [6,] 4.384824e-03 5.784371e-03 7.280793e-03 8.715313e-03 9.935455e-03
 [7,] 5.706398e-03 7.573680e-03 9.656320e-03 1.177319e-02 1.368396e-02
 [8,] 7.279047e-03 9.698909e-03 1.245584e-02 1.538035e-02 1.819228e-02
 [9,] 9.002873e-03 1.210041e-02 1.565330e-02 1.951248e-02 2.340035e-02
[10,] 1.063576e-02 1.454066e-02 1.904084e-02 2.398814e-02 2.912212e-02
[11,] 1.185803e-02 1.662743e-02 2.219341e-02 2.837717e-02 3.491774e-02
[12,] 1.240420e-02 1.795081e-02 2.457852e-02 3.206177e-02 4.010347e-02
[13,] 1.217801e-02 1.825561e-02 2.576094e-02 3.444220e-02 4.394154e-02
[14,] 1.127405e-02 1.753575e-02 2.557351e-02 3.516414e-02 4.590083e-02
[15,] 9.903757e-03 1.599510e-02 2.414533e-02 3.422413e-02 4.582543e-02
[16,] 8.293666e-03 1.392359e-02 2.178780e-02 3.189793e-02 4.391544e-02
[17,] 6.625308e-03 1.158866e-02 1.884268e-02 2.856734e-02 4.055584e-02
[18,] 5.029405e-03 9.199009e-03 1.559856e-02 2.458303e-02 3.613163e-02
[19,] 3.602153e-03 6.920093e-03 1.229393e-02 2.023820e-02 3.095580e-02
[20,] 2.412826e-03 4.891174e-03 9.148883e-03 1.581567e-02 2.532205e-02
[21,] 1.498027e-03 3.218458e-03 6.368383e-03 1.162055e-02 1.958700e-02
[22,] 8.550308e-04 1.954561e-03 4.108559e-03 7.950056e-03 1.418004e-02
[23,] 4.455516e-04 1.087330e-03 2.436858e-03 5.019993e-03 9.516315e-03
[24,] 2.108101e-04 5.507624e-04 1.319980e-03 2.904331e-03 5.872443e-03
[25,] 9.020051e-05 2.528591e-04 6.496507e-04 1.530779e-03 3.310846e-03
[26,] 3.480365e-05 1.048767e-04 2.894220e-04 7.318811e-04 1.697146e-03
[27,] 1.208606e-05 3.920509e-05 1.163920e-04 3.164065e-04 7.880934e-04
[28,] 3.771642e-06 1.318476e-05 4.216121e-05 1.233777e-04 3.305751e-04
[29,] 1.056185e-06 3.982303e-06 1.372940e-05 4.329580e-05 1.249422e-04
[30,] 2.649795e-07 1.078296e-06 4.011036e-06 1.364265e-05 4.244528e-05
[31,] 5.944451e-08 2.612048e-07 1.048954e-06 3.850830e-06 1.292769e-05
[32,] 1.189798e-08 5.647425e-08 2.449572e-07 9.711868e-07 3.520685e-06
[33,] 2.119580e-09 1.087104e-08 5.095113e-08 2.182793e-07 8.550484e-07
[34,] 3.352605e-10 1.858543e-09 9.416039e-09 4.361110e-08 1.847224e-07
[35,] 4.697507e-11 2.815520e-10 1.542572e-09 7.728243e-09 3.542050e-08
[36,] 5.818541e-12 3.771895e-11 2.235851e-10 1.212419e-09 6.017575e-09
[37,] 6.360374e-13 4.461415e-12 2.862862e-11 1.681520e-10 9.046179e-10
[38,] 6.127831e-14 4.653525e-13 3.234899e-12 2.059857e-11 1.202445e-10
[39,] 5.198815e-15 4.277298e-14 3.223870e-13 2.227875e-12 1.412980e-11
[40,] 3.882205e-16 3.463495e-15 2.833439e-14 2.127709e-13 1.468285e-12
[41,] 2.551643e-17 2.471118e-16 2.197024e-15 1.795365e-14 1.350244e-13
[42,] 1.476711e-18 1.554401e-17 1.504125e-16 1.339765e-15 1.100028e-14
[43,] 7.530812e-20 8.628731e-19 9.102412e-18 8.852762e-17 7.949199e-16
[44,] 3.388023e-21 4.232544e-20 4.875837e-19 5.186751e-18 5.101532e-17
[45,] 1.346532e-22 1.837260e-21 2.315243e-20 2.698017e-19 2.910496e-18
[46,] 4.735147e-24 7.068391e-23 9.758659e-22 1.247320e-20 1.476969e-19
[47,] 1.475661e-25 2.413570e-24 3.655042e-23 5.128029e-22 6.666834e-21
[48,] 4.081263e-27 7.322427e-26 1.217190e-24 1.874850e-23 2.675172e-22
[49,] 1.002819e-28 1.974944e-27 3.603990e-26 6.091987e-25 9.531474e-24
[50,] 2.190336e-30 4.735272e-29 9.481866e-28 1.757186e-26 3.010562e-25
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 2.857439e-03 3.651290e-03 4.371797e-03 4.848452e-03 4.949351e-03
 [2,] 3.522950e-03 4.581969e-03 5.730596e-03 6.745264e-03 7.374607e-03
 [3,] 4.338030e-03 5.493631e-03 6.942505e-03 8.494457e-03 9.829513e-03
 [4,] 5.618174e-03 6.670696e-03 8.147668e-03 1.000111e-02 1.196820e-02
 [5,] 7.718991e-03 8.577688e-03 9.808930e-03 1.157061e-02 1.380014e-02
 [6,] 1.088296e-02 1.166506e-02 1.255281e-02 1.387710e-02 1.584936e-02
 [7,] 1.517870e-02 1.619676e-02 1.690949e-02 1.769796e-02 1.900190e-02
 [8,] 2.055875e-02 2.222230e-02 2.315055e-02 2.361917e-02 2.415225e-02
 [9,] 2.691835e-02 2.964123e-02 3.128970e-02 3.190544e-02 3.191745e-02
[10,] 3.403378e-02 3.819597e-02 4.110334e-02 4.249266e-02 4.253364e-02
[11,] 4.142534e-02 4.734815e-02 5.203115e-02 5.490919e-02 5.577587e-02
[12,] 4.832470e-02 5.620761e-02 6.306143e-02 6.811264e-02 7.075664e-02
[13,] 5.385110e-02 6.369644e-02 7.285564e-02 8.051668e-02 8.580004e-02
[14,] 5.730559e-02 6.890108e-02 8.016881e-02 9.042549e-02 9.876305e-02
[15,] 5.839190e-02 7.137425e-02 8.429992e-02 9.667854e-02 1.078157e-01
[16,] 5.723705e-02 7.119610e-02 8.525608e-02 9.904472e-02 1.121759e-01
[17,] 5.422385e-02 6.879128e-02 8.355971e-02 9.811202e-02 1.122728e-01
[18,] 4.976319e-02 6.464194e-02 7.986828e-02 9.481467e-02 1.092911e-01
[19,] 4.416212e-02 5.907454e-02 7.463736e-02 8.991738e-02 1.044651e-01
[20,] 3.765988e-02 5.224291e-02 6.799662e-02 8.370957e-02 9.851213e-02
[21,] 3.056565e-02 4.429864e-02 5.989420e-02 7.603137e-02 9.142706e-02
[22,] 2.335485e-02 3.560480e-02 5.041187e-02 6.661056e-02 8.270627e-02
[23,] 1.662442e-02 2.681327e-02 4.003030e-02 5.551710e-02 7.189625e-02
[24,] 1.092457e-02 1.872689e-02 2.963987e-02 4.343395e-02 5.915639e-02
[25,] 6.579673e-03 1.203001e-02 2.026933e-02 3.154062e-02 4.546183e-02
[26,] 3.612034e-03 7.063426e-03 1.270902e-02 2.107745e-02 3.229687e-02
[27,] 1.799907e-03 3.772870e-03 7.267012e-03 1.288112e-02 2.105270e-02
[28,] 8.115123e-04 1.826674e-03 3.774031e-03 7.166055e-03 1.252534e-02
[29,] 3.301269e-04 7.992067e-04 1.774261e-03 3.615975e-03 6.774514e-03
[30,] 1.208521e-04 3.150867e-04 7.528011e-04 1.649717e-03 3.319919e-03
[31,] 3.970453e-05 1.116198e-04 2.874171e-04 6.784450e-04 1.469594e-03
[32,] 1.167450e-05 3.542857e-05 9.845691e-05 2.507577e-04 5.858640e-04
[33,] 3.063854e-06 1.004773e-05 3.017646e-05 8.306357e-05 2.097548e-04
[34,] 7.158728e-07 2.539758e-06 8.254545e-06 2.459839e-05 6.727837e-05
[35,] 1.485944e-07 5.709670e-07 2.011083e-06 6.499432e-06 1.929461e-05
[36,] 2.735488e-08 1.139817e-07 4.357454e-07 1.530049e-06 4.940806e-06
[37,] 4.461055e-09 2.018503e-08 8.389197e-08 3.206656e-07 1.128812e-06
[38,] 6.441157e-10 3.169682e-09 1.434724e-08 5.981587e-08 2.300296e-07
[39,] 8.233908e-11 4.414190e-10 2.180070e-09 9.933067e-09 4.181167e-08
[40,] 9.323249e-12 5.454843e-11 2.944926e-10 1.469064e-09 6.779777e-09
[41,] 9.358746e-13 5.986635e-12 3.539140e-11 1.935883e-10 9.806757e-10
[42,] 8.337239e-14 5.840664e-13 3.786393e-12 2.273462e-11 1.264911e-10
[43,] 6.598738e-15 5.069608e-14 3.607596e-13 2.378899e-12 1.453604e-11
[44,] 4.644443e-16 3.916731e-15 3.060772e-14 2.216284e-13 1.486258e-12
[45,] 2.908528e-17 2.693368e-16 2.310893e-15 1.836068e-14 1.349690e-13
[46,] 1.620618e-18 1.647492e-17 1.550749e-16 1.350294e-15 1.086365e-14
[47,] 8.029632e-20 8.953573e-19 9.234195e-18 8.797991e-17 7.733613e-16
[48,] 3.533565e-21 4.316280e-20 4.869792e-19 5.068073e-18 4.858903e-17
[49,] 1.378898e-22 1.842181e-21 2.269772e-20 2.575801e-19 2.689039e-18
[50,] 4.762472e-24 6.946844e-23 9.331273e-22 1.152838e-20 1.308639e-19
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 4.635394e-03 3.976682e-03 3.122678e-03 2.243762e-03 1.475177e-03
 [2,] 7.434685e-03 6.885311e-03 5.846570e-03 4.547903e-03 3.239652e-03
 [3,] 1.059925e-02 1.056183e-02 9.682973e-03 8.149229e-03 6.289282e-03
 [4,] 1.361697e-02 1.448996e-02 1.428472e-02 1.298012e-02 1.084297e-02
 [5,] 1.615310e-02 1.807432e-02 1.899014e-02 1.853735e-02 1.671415e-02
 [6,] 1.838993e-02 2.106415e-02 2.318577e-02 2.406206e-02 2.327138e-02
 [7,] 2.108904e-02 2.385350e-02 2.675866e-02 2.898073e-02 2.970908e-02
 [8,] 2.531132e-02 2.741195e-02 3.030222e-02 3.332614e-02 3.551666e-02
 [9,] 3.202463e-02 3.291318e-02 3.492430e-02 3.782895e-02 4.082982e-02
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[22,] 2.194829e-03 1.014866e-03 4.300897e-04 1.669586e-04 5.934274e-05
[23,] 3.934316e-03 1.955361e-03 8.916921e-04 3.728009e-04 1.428043e-04
[24,] 6.362191e-03 3.388578e-03 1.658868e-03 7.455132e-04 3.072883e-04
[25,] 9.340916e-03 5.307336e-03 2.779107e-03 1.338666e-03 5.923418e-04
[26,] 1.256623e-02 7.565935e-03 4.214895e-03 2.166717e-03 1.025667e-03
[27,] 1.569356e-02 9.920267e-03 5.834321e-03 3.180653e-03 1.602553e-03
[28,] 1.850795e-02 1.214192e-02 7.461543e-03 4.276061e-03 2.276433e-03
[29,] 2.100690e-02 1.413177e-02 8.965904e-03 5.341206e-03 2.974875e-03
[30,] 2.332308e-02 1.593913e-02 1.032357e-02 6.316358e-03 3.637167e-03
[31,] 2.556666e-02 1.767323e-02 1.159956e-02 7.216810e-03 4.246864e-03
[32,] 2.774936e-02 1.940379e-02 1.287510e-02 8.102521e-03 4.832686e-03
[33,] 2.983856e-02 2.114865e-02 1.420105e-02 9.032469e-03 5.442053e-03
[34,] 3.180102e-02 2.291309e-02 1.560862e-02 1.005074e-02 6.119198e-03
[35,] 3.350290e-02 2.465206e-02 1.710675e-02 1.119035e-02 6.902516e-03
[36,] 3.457217e-02 2.613871e-02 1.859630e-02 1.243296e-02 7.810649e-03
[37,] 3.447679e-02 2.691890e-02 1.977381e-02 1.362125e-02 8.787180e-03
[38,] 3.286379e-02 2.651366e-02 2.019226e-02 1.443086e-02 9.644362e-03
[39,] 2.986855e-02 2.475575e-02 1.951467e-02 1.450217e-02 1.009731e-02
[40,] 2.608654e-02 2.195093e-02 1.776241e-02 1.366823e-02 9.912854e-03
[41,] 2.223958e-02 1.870985e-02 1.532662e-02 1.208226e-02 9.065653e-03
[42,] 1.883770e-02 1.561561e-02 1.273846e-02 1.012868e-02 7.762575e-03
[43,] 1.605583e-02 1.299661e-02 1.040728e-02 8.206330e-03 6.317341e-03
[44,] 1.380408e-02 1.090476e-02 8.507099e-03 6.563099e-03 4.990097e-03
[45,] 1.186857e-02 9.217266e-03 7.016173e-03 5.266065e-03 3.906977e-03
[46,] 1.004653e-02 7.758166e-03 5.815549e-03 4.262610e-03 3.075237e-03
[47,] 8.240948e-03 6.393619e-03 4.777473e-03 3.456714e-03 2.439415e-03
[48,] 6.481637e-03 5.081261e-03 3.822503e-03 2.764503e-03 1.931361e-03
[49,] 4.869097e-03 3.859971e-03 2.937149e-03 2.142763e-03 1.500479e-03
[50,] 3.492970e-03 2.796096e-03 2.151960e-03 1.589343e-03 1.124677e-03

> image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (y,z)',xlab=par6,ylab=par7)
> if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
> if (par4=='Y') points(y,z)
> (r<-lm(z ~ y))

Call:
lm(formula = z ~ y)

Coefficients:
(Intercept)            y  
    70.6800       0.3813  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7o62b1226502236.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,z, xgridsize=par1, ygridsize=par2, correlation=cor(x,z), xbandwidth=dpik(x), ybandwidth=dpik(z))
> op
$xords
 [1]  82.11491  82.94083  83.76675  84.59267  85.41859  86.24452  87.07044
 [8]  87.89636  88.72228  89.54821  90.37413  91.20005  92.02597  92.85189
[15]  93.67782  94.50374  95.32966  96.15558  96.98151  97.80743  98.63335
[22]  99.45927 100.28519 101.11112 101.93704 102.76296 103.58888 104.41481
[29] 105.24073 106.06665 106.89257 107.71849 108.54442 109.37034 110.19626
[36] 111.02218 111.84811 112.67403 113.49995 114.32587 115.15179 115.97772
[43] 116.80364 117.62956 118.45548 119.28141 120.10733 120.93325 121.75917
[50] 122.58509

$yords
 [1]  88.52664  89.54801  90.56937  91.59073  92.61209  93.63345  94.65481
 [8]  95.67617  96.69754  97.71890  98.74026  99.76162 100.78298 101.80434
[15] 102.82570 103.84707 104.86843 105.88979 106.91115 107.93251 108.95387
[22] 109.97523 110.99660 112.01796 113.03932 114.06068 115.08204 116.10340
[29] 117.12477 118.14613 119.16749 120.18885 121.21021 122.23157 123.25293
[36] 124.27430 125.29566 126.31702 127.33838 128.35974 129.38110 130.40246
[43] 131.42383 132.44519 133.46655 134.48791 135.50927 136.53063 137.55199
[50] 138.57336

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 6.999509e-03 9.602816e-03 1.230960e-02 1.474541e-02 1.651462e-02
 [2,] 8.321986e-03 1.193862e-02 1.604760e-02 2.020280e-02 2.382163e-02
 [3,] 9.218743e-03 1.372921e-02 1.922626e-02 2.529548e-02 3.125224e-02
 [4,] 9.667538e-03 1.483767e-02 2.149205e-02 2.935177e-02 3.776592e-02
 [5,] 9.710093e-03 1.527459e-02 2.274281e-02 3.202998e-02 4.263992e-02
 [6,] 9.394054e-03 1.509570e-02 2.301236e-02 3.326198e-02 4.556636e-02
 [7,] 8.799483e-03 1.438035e-02 2.237416e-02 3.309050e-02 4.648681e-02
 [8,] 8.123701e-03 1.333482e-02 2.101969e-02 3.166917e-02 4.548471e-02
 [9,] 7.711620e-03 1.239472e-02 1.943477e-02 2.947647e-02 4.296831e-02
[10,] 7.955107e-03 1.216358e-02 1.843174e-02 2.748011e-02 3.996283e-02
[11,] 9.107993e-03 1.316901e-02 1.889622e-02 2.695494e-02 3.808424e-02
[12,] 1.114716e-02 1.559205e-02 2.137264e-02 2.896072e-02 3.899943e-02
[13,] 1.377726e-02 1.915944e-02 2.576939e-02 3.380693e-02 4.365032e-02
[14,] 1.656250e-02 2.326106e-02 3.137596e-02 4.085951e-02 5.174769e-02
[15,] 1.907620e-02 2.718716e-02 3.714959e-02 4.878494e-02 6.183778e-02
[16,] 2.096639e-02 3.031541e-02 4.205694e-02 5.603118e-02 7.184176e-02
[17,] 2.193704e-02 3.216322e-02 4.527674e-02 6.124766e-02 7.971153e-02
[18,] 2.173987e-02 3.237196e-02 4.624391e-02 6.348957e-02 8.389312e-02
[19,] 2.025864e-02 3.075377e-02 4.467025e-02 6.227681e-02 8.353450e-02
[20,] 1.764756e-02 2.743460e-02 4.065508e-02 5.766614e-02 7.857095e-02
[21,] 1.438340e-02 2.296495e-02 3.482155e-02 5.036621e-02 6.979559e-02
[22,] 1.112861e-02 1.822625e-02 2.827803e-02 4.172920e-02 5.883265e-02
[23,] 8.462187e-03 1.411077e-02 2.228568e-02 3.343029e-02 4.781784e-02
[24,] 6.660053e-03 1.116403e-02 1.776879e-02 2.687636e-02 3.873535e-02
[25,] 5.672345e-03 9.437378e-03 1.498757e-02 2.267167e-02 3.268294e-02
[26,] 5.281508e-03 8.637175e-03 1.360353e-02 2.051312e-02 2.952742e-02
[27,] 5.287047e-03 8.419320e-03 1.306451e-02 1.959701e-02 2.822636e-02
[28,] 5.569084e-03 8.580396e-03 1.298693e-02 1.922156e-02 2.761489e-02
[29,] 6.015717e-03 9.018984e-03 1.324403e-02 1.912003e-02 2.708267e-02
[30,] 6.430287e-03 9.564508e-03 1.375134e-02 1.930855e-02 2.665251e-02
[31,] 6.544325e-03 9.888473e-03 1.421775e-02 1.966952e-02 2.648520e-02
[32,] 6.147394e-03 9.618608e-03 1.414570e-02 1.971760e-02 2.633147e-02
[33,] 5.222459e-03 8.567205e-03 1.310696e-02 1.879881e-02 2.546919e-02
[34,] 3.965696e-03 6.869217e-03 1.104758e-02 1.654592e-02 2.318354e-02
[35,] 2.674723e-03 4.910705e-03 8.351111e-03 1.317609e-02 1.933770e-02
[36,] 1.597080e-03 3.114074e-03 5.617230e-03 9.381823e-03 1.452943e-02
[37,] 8.428162e-04 1.747087e-03 3.348136e-03 5.934770e-03 9.737752e-03
[38,] 3.927602e-04 8.659934e-04 1.764656e-03 3.324114e-03 5.790949e-03
[39,] 1.615558e-04 3.789929e-04 8.215233e-04 1.645700e-03 3.047389e-03
[40,] 5.864391e-05 1.463904e-04 3.376299e-04 7.195197e-04 1.417022e-03
[41,] 1.878365e-05 4.989782e-05 1.224615e-04 2.776860e-04 5.818061e-04
[42,] 5.308463e-06 1.500717e-05 3.919520e-05 9.457642e-05 2.108474e-04
[43,] 1.323660e-06 3.982384e-06 1.106898e-05 2.842340e-05 6.743119e-05
[44,] 2.912039e-07 9.324063e-07 2.758081e-06 7.537144e-06 1.902881e-05
[45,] 5.652325e-08 1.926100e-07 6.063485e-07 1.763437e-06 4.738015e-06
[46,] 9.679739e-09 3.510432e-08 1.176110e-07 3.640218e-07 1.040883e-06
[47,] 1.462538e-09 5.644818e-09 2.012715e-08 6.629882e-08 2.017538e-07
[48,] 1.949646e-10 8.008383e-10 3.038947e-09 1.065348e-08 3.450258e-08
[49,] 2.293035e-11 1.002412e-10 4.048283e-10 1.510376e-09 5.205830e-09
[50,] 2.379415e-12 1.107012e-11 4.757990e-11 1.889227e-10 6.930023e-10
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 1.730864e-02 1.699574e-02 1.565551e-02 1.354642e-02 1.102418e-02
 [2,] 2.632005e-02 2.727164e-02 2.652846e-02 2.425569e-02 2.087080e-02
 [3,] 3.625669e-02 3.951160e-02 4.047675e-02 3.901692e-02 3.542723e-02
 [4,] 4.575883e-02 5.220643e-02 5.610233e-02 5.682286e-02 5.429071e-02
 [5,] 5.362623e-02 6.369280e-02 7.143985e-02 7.569326e-02 7.580459e-02
 [6,] 5.914200e-02 7.270731e-02 8.465099e-02 9.334711e-02 9.753113e-02
 [7,] 6.201514e-02 7.855204e-02 9.447246e-02 1.078932e-01 1.170460e-01
 [8,] 6.219514e-02 8.092873e-02 1.002033e-01 1.180791e-01 1.324744e-01
 [9,] 5.995493e-02 7.989771e-02 1.015886e-01 1.232113e-01 1.425730e-01
[10,] 5.625364e-02 7.622166e-02 9.906722e-02 1.232837e-01 1.467865e-01
[11,] 5.291763e-02 7.174394e-02 9.427620e-02 1.195070e-01 1.457123e-01
[12,] 5.220701e-02 6.917884e-02 9.013276e-02 1.146770e-01 1.416815e-01
[13,] 5.587113e-02 7.113624e-02 8.999857e-02 1.126339e-01 1.386096e-01
[14,] 6.427395e-02 7.890231e-02 9.622966e-02 1.167687e-01 1.406808e-01
[15,] 7.613611e-02 9.174022e-02 1.089898e-01 1.284022e-01 1.504489e-01
[16,] 8.899203e-02 1.070902e-01 1.260248e-01 1.460131e-01 1.674870e-01
[17,] 1.000282e-01 1.214648e-01 1.434369e-01 1.656914e-01 1.883377e-01
[18,] 1.068613e-01 1.315259e-01 1.569671e-01 1.824698e-01 2.076892e-01
[19,] 1.080166e-01 1.349210e-01 1.632133e-01 1.918727e-01 2.201366e-01
[20,] 1.031342e-01 1.307402e-01 1.604455e-01 1.911473e-01 2.218271e-01
[21,] 9.302819e-02 1.196585e-01 1.489533e-01 1.799296e-01 2.115263e-01
[22,] 7.960781e-02 1.038190e-01 1.309660e-01 1.603033e-01 1.909188e-01
[23,] 6.551769e-02 8.639914e-02 1.101483e-01 1.362780e-01 1.641418e-01
[24,] 5.340759e-02 7.078925e-02 9.066363e-02 1.127418e-01 1.366623e-01
[25,] 4.502011e-02 5.951830e-02 7.593836e-02 9.406253e-02 1.137332e-01
[26,] 4.057330e-02 5.336433e-02 6.751623e-02 8.270968e-02 9.881357e-02
[27,] 3.888377e-02 5.119331e-02 6.457307e-02 7.844772e-02 9.248100e-02
[28,] 3.823140e-02 5.075222e-02 6.449334e-02 7.859831e-02 9.234971e-02
[29,] 3.740660e-02 5.000957e-02 6.433673e-02 7.943113e-02 9.421779e-02
[30,] 3.620022e-02 4.817144e-02 6.236480e-02 7.804417e-02 9.405678e-02
[31,] 3.502766e-02 4.568241e-02 5.863682e-02 7.362968e-02 8.983400e-02
[32,] 3.410114e-02 4.330867e-02 5.431468e-02 6.731886e-02 8.208065e-02
[33,] 3.293186e-02 4.114779e-02 5.031828e-02 6.080712e-02 7.288157e-02
[34,] 3.060063e-02 3.842168e-02 4.646893e-02 5.489264e-02 6.409861e-02
[35,] 2.650901e-02 3.415950e-02 4.176362e-02 4.905625e-02 5.618365e-02
[36,] 2.091344e-02 2.808425e-02 3.539572e-02 4.224679e-02 4.835592e-02
[37,] 1.480935e-02 2.092085e-02 2.755116e-02 3.401820e-02 3.973236e-02
[38,] 9.336807e-03 1.394947e-02 1.935224e-02 2.501665e-02 3.030561e-02
[39,] 5.218303e-03 8.269136e-03 1.214071e-02 1.654922e-02 2.101746e-02
[40,] 2.579550e-03 4.342301e-03 6.764095e-03 9.762111e-03 1.308103e-02
[41,] 1.126498e-03 2.016104e-03 3.336606e-03 5.110012e-03 7.251362e-03
[42,] 4.343331e-04 8.268123e-04 1.454880e-03 2.367405e-03 3.565168e-03
[43,] 1.478024e-04 2.993463e-04 5.602763e-04 9.693509e-04 1.551013e-03
[44,] 4.438469e-05 9.565179e-05 1.904717e-04 3.505216e-04 5.963102e-04
[45,] 1.176084e-05 2.697112e-05 5.714817e-05 1.118900e-04 2.024618e-04
[46,] 2.749635e-06 6.710510e-06 1.513066e-05 3.152160e-05 6.068137e-05
[47,] 5.671956e-07 1.473140e-06 3.534796e-06 7.836287e-06 1.605137e-05
[48,] 1.032295e-07 2.853331e-07 7.286216e-07 1.718951e-06 3.746759e-06
[49,] 1.657624e-08 4.876129e-08 1.325138e-07 3.326982e-07 7.717109e-07
[50,] 2.348419e-09 7.352042e-09 2.126348e-08 5.681442e-08 1.402452e-07
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 8.446566e-03 6.097918e-03 4.151292e-03 2.668134e-03 1.623543e-03
 [2,] 1.691832e-02 1.293186e-02 9.328412e-03 6.357366e-03 4.102605e-03
 [3,] 3.033326e-02 2.451387e-02 1.871518e-02 1.351203e-02 9.243173e-03
 [4,] 4.897830e-02 4.176045e-02 3.368197e-02 2.572392e-02 1.863331e-02
 [5,] 7.181162e-02 6.440642e-02 5.473671e-02 4.412246e-02 3.378151e-02
 [6,] 9.660952e-02 9.079440e-02 8.102549e-02 6.872323e-02 5.546658e-02
 [7,] 1.206741e-01 1.183218e-01 1.104224e-01 9.816943e-02 8.323249e-02
 [8,] 1.415753e-01 1.442255e-01 1.401691e-01 1.300808e-01 1.153908e-01
 [9,] 1.574757e-01 1.661415e-01 1.675706e-01 1.617269e-01 1.495123e-01
[10,] 1.672069e-01 1.822983e-01 1.903564e-01 1.905378e-01 1.829960e-01
[11,] 1.706282e-01 1.917822e-01 2.069115e-01 2.143675e-01 2.134079e-01
[12,] 1.693057e-01 1.951966e-01 2.168270e-01 2.319081e-01 2.387866e-01
[13,] 1.667632e-01 1.952329e-01 2.216460e-01 2.434406e-01 2.582662e-01
[14,] 1.675471e-01 1.962445e-01 2.249589e-01 2.513406e-01 2.727920e-01
[15,] 1.752900e-01 2.025508e-01 2.311907e-01 2.594827e-01 2.851182e-01
[16,] 1.908659e-01 2.163034e-01 2.434767e-01 2.714447e-01 2.985824e-01
[17,] 2.117166e-01 2.361770e-01 2.618494e-01 2.884566e-01 3.151566e-01
[18,] 2.326490e-01 2.575932e-01 2.827827e-01 3.083081e-01 3.339243e-01
[19,] 2.476254e-01 2.743017e-01 3.003144e-01 3.258277e-01 3.508787e-01
[20,] 2.517576e-01 2.805779e-01 3.082165e-01 3.347403e-01 3.602194e-01
[21,] 2.428196e-01 2.731836e-01 3.023172e-01 3.301457e-01 3.566797e-01
[22,] 2.218841e-01 2.524311e-01 2.820700e-01 3.105880e-01 3.379416e-01
[23,] 1.929868e-01 2.220671e-01 2.507861e-01 2.787940e-01 3.059814e-01
[24,] 1.619680e-01 1.881103e-01 2.145250e-01 2.407600e-01 2.665824e-01
[25,] 1.348079e-01 1.570686e-01 1.801681e-01 2.036788e-01 2.272346e-01
[26,] 1.158911e-01 1.340768e-01 1.533989e-01 1.736678e-01 1.945186e-01
[27,] 1.067053e-01 1.214649e-01 1.371910e-01 1.541280e-01 1.721752e-01
[28,] 1.054590e-01 1.181793e-01 1.311629e-01 1.451207e-01 1.604584e-01
[29,] 1.079043e-01 1.203095e-01 1.319388e-01 1.437444e-01 1.566724e-01
[30,] 1.091958e-01 1.226702e-01 1.344514e-01 1.452994e-01 1.564276e-01
[31,] 1.060081e-01 1.209140e-01 1.338324e-01 1.449096e-01 1.551333e-01
[32,] 9.778776e-02 1.132207e-01 1.272021e-01 1.391332e-01 1.493318e-01
[33,] 8.639955e-02 1.006542e-01 1.145355e-01 1.269893e-01 1.375597e-01
[34,] 7.446534e-02 8.599694e-02 9.814225e-02 1.099464e-01 1.205086e-01
[35,] 6.362329e-02 7.187566e-02 8.109169e-02 9.087766e-02 1.004417e-01
[36,] 5.390812e-02 5.945521e-02 6.558897e-02 7.256428e-02 8.011227e-02
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[48,] 6.700105e-02 5.891798e-02 4.859398e-02 3.753651e-02 2.714369e-02
[49,] 4.729482e-02 4.378692e-02 3.804470e-02 3.094154e-02 2.351926e-02
[50,] 3.003412e-02 2.928038e-02 2.683995e-02 2.304901e-02 1.849699e-02

> image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,z)',xlab=par5,ylab=par7)
> if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
> if (par4=='Y') points(x,z)
> (r<-lm(z ~ x))

Call:
lm(formula = z ~ x)

Coefficients:
(Intercept)            x  
     32.417        0.781  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> system("convert tmp/1dfrk1226502236.ps tmp/1dfrk1226502236.png")
> system("convert tmp/24o9m1226502236.ps tmp/24o9m1226502236.png")
> system("convert tmp/3vv681226502236.ps tmp/3vv681226502236.png")
> system("convert tmp/4kg9s1226502236.ps tmp/4kg9s1226502236.png")
> system("convert tmp/5zzx51226502236.ps tmp/5zzx51226502236.png")
> system("convert tmp/6iq2h1226502236.ps tmp/6iq2h1226502236.png")
> system("convert tmp/7o62b1226502236.ps tmp/7o62b1226502236.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.306   1.367   4.360