R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
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
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> z <- c(0.4,1,1.7,3.1,3.3,3.1,3.5,6,5.7,4.7,4.2,3.6,4.4,2.5,-0.6,-1.9,-1.9,0.7,-0.9,-1.7,-3.1,-2.1,0.2,1.2,3.8,4,6.6,5.3,7.6,4.7,6.6,4.4,4.6,6,4.8,4,2.7,3,4.1,4,2.7,2.6,3.1,4.4,3,2,1.3,1.5,1.3,3.2,1.8,3.3,1,2.4,0.4,-0.1,1.3,-1.1,-4.4,-7.5,-12.2,-14.5,-16,-16.7,-16.3,-16.9,-15,-14.6,-14.3)
> y <- c(1.4,1.2,1,1.7,2.4,2,2.1,2,1.8,2.7,2.3,1.9,2,2.3,2.8,2.4,2.3,2.7,2.7,2.9,3,2.2,2.3,2.8,2.8,2.8,2.2,2.6,2.8,2.5,2.4,2.3,1.9,1.7,2,2.1,1.7,1.8,1.8,1.8,1.3,1.3,1.3,1.2,1.4,2.2,2.9,3.1,3.5,3.6,4.4,4.1,5.1,5.8,5.9,5.4,5.5,4.8,3.2,2.7,2.1,1.9,0.6,0.7,-0.2,-1,-1.7,-0.7,-1)
> x <- c(2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2.21,2.25,2.25,2.45,2.5,2.5,2.64,2.75,2.93,3,3.17,3.25,3.39,3.5,3.5,3.65,3.75,3.75,3.9,4,4,4,4,4,4,4,4,4,4,4,4,4.18,4.25,4.25,3.97,3.42,2.75,2.31,2,1.66,1.31,1.09,1,1,1,1)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = 'industriële productie'
> par6 = 'inflatie'
> par5 = 'rente'
> par4 = 'Y'
> par3 = 'Y'
> par2 = '50'
> par1 = '50'
> ylab = ''
> xlab = ''
> main = ''
> #'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 2.23 loaded
Copyright M. P. Wand 1997-2009

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/139eu1257167953.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/29epj1257167953.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/3936w1257167953.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/46q3i1257167953.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/5orbe1257167953.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  
    -0.2074       0.9211  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/62eho1257167953.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] -2.24277234 -2.06551632 -1.88826031 -1.71100429 -1.53374828 -1.35649227
 [7] -1.17923625 -1.00198024 -0.82472423 -0.64746821 -0.47021220 -0.29295618
[13] -0.11570017  0.06155584  0.23881186  0.41606787  0.59332388  0.77057990
[19]  0.94783591  1.12509192  1.30234794  1.47960395  1.65685997  1.83411598
[25]  2.01137199  2.18862801  2.36588402  2.54314003  2.72039605  2.89765206
[31]  3.07490808  3.25216409  3.42942010  3.60667612  3.78393213  3.96118814
[37]  4.13844416  4.31570017  4.49295618  4.67021220  4.84746821  5.02472423
[43]  5.20198024  5.37923625  5.55649227  5.73374828  5.91100429  6.08826031
[49]  6.26551632  6.44277234

$yords
 [1] -18.7816193 -18.2048185 -17.6280177 -17.0512169 -16.4744161 -15.8976153
 [7] -15.3208146 -14.7440138 -14.1672130 -13.5904122 -13.0136114 -12.4368106
[13] -11.8600098 -11.2832091 -10.7064083 -10.1296075  -9.5528067  -8.9760059
[19]  -8.3992051  -7.8224043  -7.2456035  -6.6688028  -6.0920020  -5.5152012
[25]  -4.9384004  -4.3615996  -3.7847988  -3.2079980  -2.6311972  -2.0543965
[31]  -1.4775957  -0.9007949  -0.3239941   0.2528067   0.8296075   1.4064083
[37]   1.9832091   2.5600098   3.1368106   3.7136114   4.2904122   4.8672130
[43]   5.4440138   6.0208146   6.5976153   7.1744161   7.7512169   8.3280177
[49]   8.9048185   9.4816193

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 1.341849e-02 3.844574e-02 9.503159e-02 1.858706e-01 2.804481e-01
 [2,] 2.315478e-02 5.157238e-02 1.241690e-01 2.637255e-01 4.469660e-01
 [3,] 5.289280e-02 8.262843e-02 1.512496e-01 3.045107e-01 5.519836e-01
 [4,] 1.213824e-01 1.692657e-01 2.272876e-01 3.488292e-01 5.865255e-01
 [5,] 2.245478e-01 3.320311e-01 4.129212e-01 4.960388e-01 6.619231e-01
 [6,] 3.150074e-01 5.192686e-01 6.875906e-01 7.887647e-01 8.922183e-01
 [7,] 3.364986e-01 6.219630e-01 9.111291e-01 1.108200e+00 1.225679e+00
 [8,] 2.890701e-01 5.885092e-01 9.494930e-01 1.253960e+00 1.449699e+00
 [9,] 2.275203e-01 4.896135e-01 8.400286e-01 1.177711e+00 1.423299e+00
[10,] 1.896934e-01 4.186720e-01 7.345653e-01 1.044860e+00 1.260837e+00
[11,] 1.675781e-01 3.823804e-01 6.908951e-01 9.933685e-01 1.167956e+00
[12,] 1.536027e-01 3.495435e-01 6.510018e-01 9.715424e-01 1.159014e+00
[13,] 1.701298e-01 3.481675e-01 6.158540e-01 9.171422e-01 1.119916e+00
[14,] 2.323116e-01 4.348416e-01 6.904395e-01 9.398705e-01 1.090911e+00
[15,] 3.048760e-01 5.842761e-01 9.092959e-01 1.166924e+00 1.251317e+00
[16,] 3.234673e-01 6.739739e-01 1.116797e+00 1.485150e+00 1.599046e+00
[17,] 2.622262e-01 6.061678e-01 1.103891e+00 1.594707e+00 1.838795e+00
[18,] 1.601405e-01 4.140915e-01 8.383101e-01 1.337163e+00 1.690617e+00
[19,] 7.395836e-02 2.152078e-01 4.877220e-01 8.658025e-01 1.211251e+00
[20,] 2.692914e-02 8.901414e-02 2.280968e-01 4.551533e-01 7.110600e-01
[21,] 9.082524e-03 3.485604e-02 1.032622e-01 2.367460e-01 4.215840e-01
[22,] 3.772338e-03 1.715393e-02 5.993395e-02 1.610574e-01 3.336546e-01
[23,] 1.898731e-03 1.008874e-02 4.105048e-02 1.280062e-01 3.064989e-01
[24,] 8.670999e-04 5.295776e-03 2.474051e-02 8.847007e-02 2.425678e-01
[25,] 3.079133e-04 2.149820e-03 1.147780e-02 4.688645e-02 1.467553e-01
[26,] 8.154783e-05 6.500378e-04 3.961855e-03 1.847149e-02 6.595869e-02
[27,] 1.595916e-05 1.452008e-04 1.010029e-03 5.373786e-03 2.188995e-02
[28,] 2.303425e-06 2.391893e-05 1.898871e-04 1.152872e-03 5.357514e-03
[29,] 2.450902e-07 2.904686e-06 2.631734e-05 1.823377e-04 9.667319e-04
[30,] 1.922332e-08 2.600205e-07 2.688704e-06 2.125869e-05 1.285999e-04
[31,] 1.111408e-09 1.715773e-08 2.024843e-07 1.827061e-06 1.261116e-05
[32,] 4.736518e-11 8.345532e-10 1.124048e-08 1.157503e-07 9.116785e-07
[33,] 1.487942e-12 2.992198e-11 4.599628e-10 5.405582e-09 4.858426e-08
[34,] 3.445501e-14 7.908007e-13 1.387405e-11 1.860847e-10 1.908582e-09
[35,] 5.881103e-16 1.540581e-14 3.084795e-13 4.722000e-12 5.526936e-11
[36,] 7.399548e-18 2.212292e-16 5.055817e-15 8.832568e-14 1.179813e-12
[37,] 6.862643e-20 2.341752e-18 6.107987e-17 1.217847e-15 1.856498e-14
[38,] 4.691563e-22 1.827172e-20 5.439339e-19 1.237777e-17 2.153408e-16
[39,] 2.364196e-24 1.050892e-22 3.570550e-21 9.273320e-20 1.841224e-18
[40,] 8.781912e-27 4.455301e-25 1.727686e-23 5.121187e-22 1.160470e-20
[41,] 2.404554e-29 1.392310e-27 6.162193e-26 2.084722e-24 5.391471e-23
[42,] 4.853134e-32 3.207282e-30 1.620125e-28 6.255610e-27 1.846408e-25
[43,] 7.220119e-35 5.445942e-33 3.139764e-31 1.383654e-29 4.661087e-28
[44,] 7.917932e-38 6.816387e-36 4.485295e-34 2.255962e-32 8.673513e-31
[45,] 6.400485e-41 6.288824e-39 4.723015e-37 2.711260e-35 1.189707e-33
[46,] 3.813817e-44 4.276913e-42 3.666010e-40 2.401911e-38 1.202909e-36
[47,] 1.675097e-47 2.144000e-45 2.097498e-43 1.568473e-41 8.965226e-40
[48,] 5.423335e-51 7.922557e-49 8.846181e-47 7.549943e-45 4.925351e-43
[49,] 1.294272e-54 2.157937e-52 2.750067e-50 2.678822e-48 1.994563e-46
[50,] 2.276834e-58 4.332704e-56 6.301984e-54 7.006338e-52 5.953960e-50
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 3.242771e-01 2.868508e-01 1.940285e-01 1.003406e-01 3.966976e-02
 [2,] 5.860676e-01 5.895944e-01 4.540562e-01 2.674967e-01 1.205216e-01
 [3,] 8.062170e-01 9.147976e-01 7.980699e-01 5.336731e-01 2.732544e-01
 [4,] 8.982065e-01 1.119007e+00 1.089363e+00 8.184211e-01 4.725415e-01
 [5,] 9.357659e-01 1.196350e+00 1.251383e+00 1.029983e+00 6.580208e-01
 [6,] 1.081002e+00 1.304284e+00 1.383164e+00 1.196749e+00 8.188812e-01
 [7,] 1.363931e+00 1.538952e+00 1.606788e+00 1.420653e+00 1.014491e+00
 [8,] 1.605613e+00 1.773984e+00 1.852040e+00 1.680022e+00 1.252233e+00
 [9,] 1.607006e+00 1.789251e+00 1.905523e+00 1.796465e+00 1.411034e+00
[10,] 1.397049e+00 1.532343e+00 1.654229e+00 1.625738e+00 1.352382e+00
[11,] 1.200006e+00 1.194934e+00 1.224629e+00 1.219761e+00 1.068463e+00
[12,] 1.135166e+00 9.860369e-01 8.568507e-01 7.845545e-01 6.939431e-01
[13,] 1.108437e+00 9.067896e-01 6.618564e-01 4.900006e-01 3.883145e-01
[14,] 1.061974e+00 8.556544e-01 5.774032e-01 3.495995e-01 2.162003e-01
[15,] 1.129409e+00 8.577573e-01 5.465914e-01 2.958031e-01 1.446926e-01
[16,] 1.405184e+00 1.014851e+00 6.059495e-01 3.012082e-01 1.269977e-01
[17,] 1.700242e+00 1.264624e+00 7.584243e-01 3.679216e-01 1.453642e-01
[18,] 1.702131e+00 1.368006e+00 8.778937e-01 4.494124e-01 1.834595e-01
[19,] 1.342872e+00 1.184686e+00 8.334012e-01 4.677322e-01 2.095082e-01
[20,] 8.750089e-01 8.538865e-01 6.659261e-01 4.192494e-01 2.162816e-01
[21,] 5.864979e-01 6.439105e-01 5.683061e-01 4.163505e-01 2.649685e-01
[22,] 5.357474e-01 6.750209e-01 6.853063e-01 5.886485e-01 4.557558e-01
[23,] 5.663021e-01 8.169989e-01 9.449705e-01 9.214623e-01 8.104796e-01
[24,] 5.121109e-01 8.411132e-01 1.100191e+00 1.200397e+00 1.168704e+00
[25,] 3.532270e-01 6.594973e-01 9.745918e-01 1.188093e+00 1.275232e+00
[26,] 1.809306e-01 3.840685e-01 6.418445e-01 8.757945e-01 1.037635e+00
[27,] 6.844103e-02 1.652613e-01 3.127168e-01 4.787067e-01 6.276097e-01
[28,] 1.909638e-02 5.247925e-02 1.125751e-01 1.937668e-01 2.818961e-01
[29,] 3.929070e-03 1.229436e-02 2.992864e-02 5.804077e-02 9.396600e-02
[30,] 5.960588e-04 2.124481e-03 5.874219e-03 1.285880e-02 2.323169e-02
[31,] 6.666932e-05 2.707568e-04 8.509908e-04 2.106111e-03 4.257586e-03
[32,] 5.497733e-06 2.544752e-05 9.097491e-05 2.549162e-04 5.780479e-04
[33,] 3.342327e-07 1.763677e-06 7.175709e-06 2.279248e-05 5.810791e-05
[34,] 1.497992e-08 9.013047e-08 4.175311e-07 1.504959e-06 4.322574e-06
[35,] 4.949446e-10 3.396101e-09 1.792005e-08 7.336289e-08 2.378309e-07
[36,] 1.205542e-11 9.434672e-11 5.672435e-10 2.639629e-09 9.674182e-09
[37,] 2.164613e-13 1.932386e-12 1.324161e-11 7.008650e-11 2.908052e-10
[38,] 2.865134e-15 2.917888e-14 2.279399e-13 1.373013e-12 6.457637e-12
[39,] 2.795579e-17 3.248177e-16 2.893211e-15 1.984259e-14 1.058984e-13
[40,] 2.010746e-19 2.665615e-18 2.707680e-17 2.115196e-16 1.282120e-15
[41,] 1.066100e-21 1.612628e-20 1.868325e-19 1.662971e-18 1.145741e-17
[42,] 4.166711e-24 7.191934e-23 9.504542e-22 9.641913e-21 7.555695e-20
[43,] 1.200424e-26 2.364392e-25 3.564623e-24 4.122367e-23 3.676292e-22
[44,] 2.549352e-29 5.730078e-28 9.855925e-27 1.299620e-25 1.319581e-24
[45,] 3.990862e-32 1.023658e-30 2.008923e-29 3.020919e-28 3.493730e-27
[46,] 4.605270e-35 1.348063e-33 3.018658e-32 5.177340e-31 6.823093e-30
[47,] 3.917260e-38 1.308617e-36 3.343737e-35 6.542165e-34 9.862744e-33
[48,] 2.456178e-41 9.364226e-40 2.730498e-38 6.108338e-37 1.173205e-35
[49,] 1.135205e-44 4.939523e-43 1.645900e-41 4.504798e-40 4.074229e-38
[50,] 3.867629e-48 1.922278e-46 7.634129e-45 7.309219e-43 6.076491e-40
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 1.198937e-02 2.769973e-03 4.891995e-04 6.604209e-05 6.815122e-06
 [2,] 4.152306e-02 1.093839e-02 2.203064e-03 3.392255e-04 3.993187e-05
 [3,] 1.070794e-01 3.210451e-02 7.363090e-03 1.291582e-03 1.732607e-04
 [4,] 2.093233e-01 7.107402e-02 1.848668e-02 3.681901e-03 5.613123e-04
 [5,] 3.245559e-01 1.232639e-01 3.598991e-02 8.069266e-03 1.388114e-03
 [6,] 4.375986e-01 1.815672e-01 5.829905e-02 1.445360e-02 2.762196e-03
 [7,] 5.729948e-01 2.535246e-01 8.742185e-02 2.341784e-02 4.861998e-03
 [8,] 7.460499e-01 3.506001e-01 1.290349e-01 3.702682e-02 8.259127e-03
 [9,] 8.941267e-01 4.499625e-01 1.782684e-01 5.527669e-02 1.335597e-02
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[21,] 2.884715e-01 9.444937e-02 2.433240e-02 4.898466e-03 7.670414e-04
[22,] 6.844736e-01 2.561640e-01 7.544557e-02 1.733789e-02 3.093735e-03
[23,] 1.344108e+00 5.657155e-01 1.880121e-01 4.879731e-02 9.833986e-03
[24,] 2.210026e+00 1.033547e+00 3.840027e-01 1.117015e-01 2.525421e-02
[25,] 3.085446e+00 1.594159e+00 6.596118e-01 2.144021e-01 5.422865e-02
[26,] 3.712473e+00 2.119069e+00 9.785368e-01 3.564152e-01 1.011302e-01
[27,] 3.913945e+00 2.472545e+00 1.281859e+00 5.271676e-01 1.691564e-01
[28,] 3.673438e+00 2.564242e+00 1.500758e+00 7.029189e-01 2.575980e-01
[29,] 3.082522e+00 2.357883e+00 1.558942e+00 8.358320e-01 3.521889e-01
[30,] 2.275324e+00 1.878042e+00 1.394277e+00 8.550547e-01 4.147435e-01
[31,] 1.435946e+00 1.251187e+00 1.030350e+00 7.187065e-01 4.001160e-01
[32,] 7.575260e-01 6.767012e-01 6.068819e-01 4.772842e-01 3.035347e-01
[33,] 3.319214e-01 2.928855e-01 2.785428e-01 2.440128e-01 1.762971e-01
[34,] 1.223845e-01 1.018877e-01 9.881273e-02 9.471216e-02 7.721079e-02
[35,] 4.057283e-02 2.936419e-02 2.728664e-02 2.778484e-02 2.530351e-02
[36,] 1.596596e-02 7.916231e-03 6.084371e-03 6.194439e-03 6.190053e-03
[37,] 1.122401e-02 3.082494e-03 1.308129e-03 1.085064e-03 1.134297e-03
[38,] 1.129089e-02 2.429675e-03 5.058115e-04 1.854131e-04 1.600246e-04
[39,] 1.132817e-02 2.457740e-03 4.294784e-04 6.990855e-05 2.205626e-05
[40,] 9.921915e-03 2.313275e-03 4.213827e-04 6.089083e-05 7.955646e-06
[41,] 7.093768e-03 1.821909e-03 3.627031e-04 5.604735e-05 6.796839e-06
[42,] 3.970426e-03 1.135443e-03 2.517021e-04 4.308675e-05 5.697533e-06
[43,] 1.712779e-03 5.435556e-04 1.350113e-04 2.593545e-05 3.837199e-06
[44,] 5.787987e-04 1.986316e-04 5.492572e-05 1.187147e-05 1.981374e-06
[45,] 1.758854e-04 5.749007e-05 1.699828e-05 4.089536e-06 7.697337e-07
[46,] 1.088838e-04 1.907964e-05 4.437690e-06 1.081959e-06 2.244445e-07
[47,] 2.074100e-04 2.267595e-05 2.327881e-06 3.039257e-07 5.302839e-08
[48,] 4.143688e-04 4.833211e-05 4.379977e-06 3.231239e-07 2.323034e-08
[49,] 6.358494e-04 8.445793e-05 8.597528e-06 6.721135e-07 4.082739e-08
[50,] 7.252481e-04 1.101020e-04 1.279567e-05 1.138066e-06 7.748972e-08

> 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  
     -4.705        2.055  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7mru41257167953.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] 0.6701323 0.7499228 0.8297133 0.9095039 0.9892944 1.0690849 1.1488754
 [8] 1.2286659 1.3084564 1.3882470 1.4680375 1.5478280 1.6276185 1.7074090
[15] 1.7871996 1.8669901 1.9467806 2.0265711 2.1063616 2.1861521 2.2659427
[22] 2.3457332 2.4255237 2.5053142 2.5851047 2.6648953 2.7446858 2.8244763
[29] 2.9042668 2.9840573 3.0638479 3.1436384 3.2234289 3.3032194 3.3830099
[36] 3.4628004 3.5425910 3.6223815 3.7021720 3.7819625 3.8617530 3.9415436
[43] 4.0213341 4.1011246 4.1809151 4.2607056 4.3404961 4.4202867 4.5000772
[50] 4.5798677

$yords
 [1] -18.7816193 -18.2048185 -17.6280177 -17.0512169 -16.4744161 -15.8976153
 [7] -15.3208146 -14.7440138 -14.1672130 -13.5904122 -13.0136114 -12.4368106
[13] -11.8600098 -11.2832091 -10.7064083 -10.1296075  -9.5528067  -8.9760059
[19]  -8.3992051  -7.8224043  -7.2456035  -6.6688028  -6.0920020  -5.5152012
[25]  -4.9384004  -4.3615996  -3.7847988  -3.2079980  -2.6311972  -2.0543965
[31]  -1.4775957  -0.9007949  -0.3239941   0.2528067   0.8296075   1.4064083
[37]   1.9832091   2.5600098   3.1368106   3.7136114   4.2904122   4.8672130
[43]   5.4440138   6.0208146   6.5976153   7.1744161   7.7512169   8.3280177
[49]   8.9048185   9.4816193

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 5.492960e-01 8.468839e-01 1.106551e+00 1.331822e+00 1.556660e+00
 [2,] 7.567425e-01 1.256214e+00 1.720399e+00 2.091283e+00 2.433798e+00
 [3,] 9.080661e-01 1.622980e+00 2.350478e+00 2.920396e+00 3.376237e+00
 [4,] 9.647195e-01 1.844867e+00 2.831853e+00 3.632930e+00 4.189387e+00
 [5,] 9.281071e-01 1.878139e+00 3.041055e+00 4.046375e+00 4.685369e+00
 [6,] 8.285289e-01 1.753750e+00 2.966741e+00 4.084311e+00 4.769776e+00
 [7,] 6.996462e-01 1.539636e+00 2.696573e+00 3.814817e+00 4.491561e+00
 [8,] 5.647514e-01 1.295319e+00 2.343258e+00 3.389212e+00 4.011348e+00
 [9,] 4.379017e-01 1.056200e+00 1.986137e+00 2.945348e+00 3.508101e+00
[10,] 3.269646e-01 8.387623e-01 1.660114e+00 2.555148e+00 3.097527e+00
[11,] 2.341416e-01 6.465386e-01 1.367383e+00 2.224886e+00 2.805685e+00
[12,] 1.582722e-01 4.762208e-01 1.093053e+00 1.918368e+00 2.584011e+00
[13,] 9.853063e-02 3.267979e-01 8.257632e-01 1.592134e+00 2.347392e+00
[14,] 5.515465e-02 2.036872e-01 5.735244e-01 1.233158e+00 2.028538e+00
[15,] 2.731324e-02 1.132852e-01 3.590388e-01 8.710791e-01 1.621108e+00
[16,] 1.188067e-02 5.576696e-02 2.006200e-01 5.541874e-01 1.177931e+00
[17,] 4.539411e-03 2.427719e-02 9.979820e-02 3.158427e-01 7.708862e-01
[18,] 1.529577e-03 9.369125e-03 4.419705e-02 1.607204e-01 4.510832e-01
[19,] 4.564739e-04 3.210986e-03 1.740089e-02 7.266628e-02 2.340589e-01
[20,] 1.208242e-04 9.755908e-04 6.060954e-03 2.896981e-02 1.066584e-01
[21,] 2.827940e-05 2.612545e-04 1.852841e-03 1.008912e-02 4.226558e-02
[22,] 5.812185e-06 6.113936e-05 4.925261e-04 3.041026e-03 1.443880e-02
[23,] 1.039621e-06 1.238956e-05 1.128500e-04 7.870476e-04 4.223640e-03
[24,] 1.604068e-07 2.156318e-06 2.212727e-05 1.738495e-04 1.052886e-03
[25,] 2.118954e-08 3.202477e-07 3.693069e-06 3.263710e-05 2.229929e-04
[26,] 2.382774e-09 4.039625e-08 5.227373e-07 5.193351e-06 4.005696e-05
[27,] 2.271663e-10 4.314167e-09 6.260304e-08 6.993880e-07 6.098758e-06
[28,] 1.831132e-11 3.892862e-10 6.334733e-09 7.965800e-08 7.870370e-07
[29,] 1.245806e-12 2.964359e-11 5.412481e-10 7.672898e-09 8.613437e-08
[30,] 7.146229e-14 1.903758e-12 3.904267e-11 6.252995e-10 8.001532e-09
[31,] 3.454221e-15 1.030919e-13 2.378307e-12 4.314662e-11 6.316262e-10
[32,] 1.406602e-16 4.707848e-15 1.224131e-13 2.523366e-12 4.241722e-11
[33,] 4.825544e-18 1.813694e-16 5.328083e-15 1.252291e-13 2.426000e-12
[34,] 1.394999e-19 5.898031e-18 1.963111e-16 5.280539e-15 1.182753e-13
[35,] 3.399584e-21 1.620292e-19 6.130092e-18 1.894295e-16 4.918192e-15
[36,] 6.987870e-23 3.763942e-21 1.624437e-19 5.787693e-18 1.744662e-16
[37,] 1.212389e-24 7.401941e-23 3.657918e-21 1.507438e-19 5.278562e-18
[38,] 1.777044e-26 1.233810e-24 7.008385e-23 3.348805e-21 1.361289e-19
[39,] 2.202728e-28 1.745555e-26 1.143783e-24 6.346315e-23 2.989520e-21
[40,] 2.311758e-30 2.098899e-28 1.591421e-26 1.025691e-24 5.584075e-23
[41,] 2.056823e-32 2.147692e-30 1.888673e-28 1.412801e-26 8.859709e-25
[42,] 1.553544e-34 1.872233e-32 1.912071e-30 1.656874e-28 1.192379e-26
[43,] 9.974730e-37 1.391554e-34 1.650722e-32 1.652361e-30 1.359411e-28
[44,] 5.451114e-39 8.822487e-37 1.214384e-34 1.399416e-32 1.311267e-30
[45,] 2.538240e-41 4.771359e-39 7.605068e-37 1.005134e-34 1.068953e-32
[46,] 1.007807e-43 2.200288e-41 4.049206e-39 6.114415e-37 7.357369e-35
[47,] 3.413403e-46 8.645115e-44 1.830526e-41 3.146430e-39 4.272023e-37
[48,] 9.861426e-49 2.890977e-46 7.016529e-44 1.368153e-41 2.091148e-39
[49,] 2.429046e-51 8.217672e-49 2.277386e-46 5.022123e-44 8.624257e-42
[50,] 5.097052e-54 1.982893e-51 6.251816e-49 1.555025e-46 2.995388e-44
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 1.703332e+00 1.607073e+00 1.228971e+00 7.383082e-01 3.436736e-01
 [2,] 2.723469e+00 2.727301e+00 2.266927e+00 1.496981e+00 7.697108e-01
 [3,] 3.794192e+00 3.964295e+00 3.547810e+00 2.564393e+00 1.453824e+00
 [4,] 4.659488e+00 4.975349e+00 4.729400e+00 3.717610e+00 2.317411e+00
 [5,] 5.111608e+00 5.452722e+00 5.402703e+00 4.573055e+00 3.120882e+00
 [6,] 5.085375e+00 5.299902e+00 5.339242e+00 4.793912e+00 3.557185e+00
 [7,] 4.673499e+00 4.666035e+00 4.632985e+00 4.313790e+00 3.441821e+00
 [8,] 4.068526e+00 3.831228e+00 3.615059e+00 3.374534e+00 2.841981e+00
 [9,] 3.473209e+00 3.057112e+00 2.638558e+00 2.349869e+00 2.023140e+00
[10,] 3.027445e+00 2.503412e+00 1.921718e+00 1.527936e+00 1.269606e+00
[11,] 2.778847e+00 2.222657e+00 1.529501e+00 1.021999e+00 7.430978e-01
[12,] 2.688443e+00 2.188120e+00 1.435584e+00 8.184083e-01 4.693154e-01
[13,] 2.655038e+00 2.316484e+00 1.577065e+00 8.623745e-01 4.088614e-01
[14,] 2.559226e+00 2.485095e+00 1.868705e+00 1.101828e+00 5.242713e-01
[15,] 2.320058e+00 2.562505e+00 2.197247e+00 1.478749e+00 7.973492e-01
[16,] 1.931417e+00 2.452548e+00 2.428712e+00 1.900318e+00 1.201887e+00
[17,] 1.454538e+00 2.130862e+00 2.444442e+00 2.231225e+00 1.663183e+00
[18,] 9.794279e-01 1.653724e+00 2.194613e+00 2.333728e+00 2.046338e+00
[19,] 5.831247e-01 1.131220e+00 1.731958e+00 2.141133e+00 2.202724e+00
[20,] 3.036556e-01 6.744847e-01 1.188688e+00 1.706060e+00 2.054955e+00
[21,] 1.369826e-01 3.475001e-01 7.042020e-01 1.173043e+00 1.651757e+00
[22,] 5.312709e-02 1.537429e-01 3.583521e-01 6.931835e-01 1.139456e+00
[23,] 1.761907e-02 5.817711e-02 1.561882e-01 3.511556e-01 6.727383e-01
[24,] 4.979247e-03 1.878653e-02 5.821561e-02 1.522442e-01 3.391845e-01
[25,] 1.196820e-03 5.171834e-03 1.854220e-02 5.641752e-02 1.457603e-01
[26,] 2.444812e-04 1.213575e-03 5.044895e-03 1.784852e-02 5.329605e-02
[27,] 4.244509e-05 2.427890e-04 1.172133e-03 4.814656e-03 1.655350e-02
[28,] 6.266305e-06 4.143008e-05 2.324547e-04 1.105908e-03 4.360709e-03
[29,] 7.873254e-07 6.032232e-06 3.932173e-05 2.159956e-04 9.729408e-04
[30,] 8.426462e-08 7.494878e-07 5.668157e-06 3.581890e-05 1.836243e-04
[31,] 7.688300e-09 7.944733e-08 6.954249e-07 5.036217e-06 2.928240e-05
[32,] 5.983441e-10 7.180784e-09 7.252361e-08 5.995751e-07 3.941883e-06
[33,] 3.972804e-11 5.529029e-10 6.419834e-09 6.036770e-08 4.475820e-07
[34,] 2.250026e-12 3.622490e-11 4.817091e-10 5.134797e-09 4.283725e-08
[35,] 1.086354e-13 2.016860e-12 3.059844e-11 3.686383e-10 3.453921e-09
[36,] 4.467348e-15 9.529197e-14 1.643445e-12 2.232023e-11 2.345039e-10
[37,] 1.562842e-16 3.815567e-15 7.455916e-14 1.139033e-12 1.340225e-11
[38,] 4.645083e-18 1.293093e-16 2.854619e-15 4.896463e-14 6.445697e-13
[39,] 1.171354e-19 3.704817e-18 9.216555e-17 1.772348e-15 2.608117e-14
[40,] 2.502738e-21 8.964559e-20 2.507781e-18 5.399880e-17 8.877171e-16
[41,] 4.525097e-23 1.830363e-21 5.747609e-20 1.384418e-18 2.541337e-17
[42,] 6.915708e-25 3.151198e-23 1.109129e-21 2.986117e-20 6.118957e-19
[43,] 8.924939e-27 4.571667e-25 1.801454e-23 5.417894e-22 1.239278e-20
[44,] 9.717734e-29 5.586209e-27 2.462040e-25 8.268014e-24 2.112245e-22
[45,] 8.920982e-31 5.746919e-29 2.830857e-27 1.061310e-25 3.033924e-24
[46,] 6.900521e-33 4.975972e-31 2.737940e-29 1.146230e-27 3.685558e-26
[47,] 4.495450e-35 3.625324e-33 2.227455e-31 1.042563e-29 3.821196e-28
[48,] 2.465538e-37 2.222070e-35 1.524535e-33 8.005954e-32 3.455499e-30
[49,] 1.138040e-39 1.145681e-37 8.783490e-36 5.223803e-34 2.852531e-32
[50,] 4.419986e-42 4.969355e-40 4.267330e-38 2.942196e-36 2.309948e-34
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 1.231824e-01 3.388316e-02 7.136313e-03 1.148815e-03 1.411445e-04
 [2,] 3.054302e-01 9.312561e-02 2.175945e-02 3.888677e-03 5.306846e-04
 [3,] 6.381351e-01 2.155697e-01 5.586197e-02 1.107998e-02 1.679205e-03
 [4,] 1.123806e+00 4.203568e-01 1.207625e-01 2.657683e-02 4.471977e-03
 [5,] 1.668991e+00 6.906581e-01 2.198663e-01 5.367102e-02 1.002446e-02
 [6,] 2.091798e+00 9.564626e-01 3.371900e-01 9.126447e-02 1.891596e-02
 [7,] 2.215161e+00 1.116994e+00 4.356990e-01 1.306930e-01 3.005017e-02
 [8,] 1.986086e+00 1.100935e+00 4.745132e-01 1.576423e-01 4.019476e-02
 [9,] 1.513392e+00 9.170883e-01 4.358154e-01 1.602051e-01 4.527526e-02
[10,] 9.881065e-01 6.474651e-01 3.378983e-01 1.372271e-01 4.295454e-02
[11,] 5.649263e-01 3.901848e-01 2.216713e-01 9.915743e-02 3.433735e-02
[12,] 3.043173e-01 2.060088e-01 1.241021e-01 6.062095e-02 2.315510e-02
[13,] 1.961530e-01 1.078533e-01 6.228906e-02 3.197174e-02 1.328288e-02
[14,] 2.152118e-01 8.614622e-02 3.743071e-02 1.693909e-02 7.000951e-03
[15,] 3.569887e-01 1.396819e-01 5.030543e-02 1.715565e-02 5.542505e-03
[16,] 6.350186e-01 2.896781e-01 1.156492e-01 3.993005e-02 1.182388e-02
[17,] 1.045739e+00 5.678600e-01 2.657610e-01 1.047041e-01 3.435324e-02
[18,] 1.524665e+00 9.788466e-01 5.346047e-01 2.417686e-01 8.997356e-02
[19,] 1.934533e+00 1.456211e+00 9.202784e-01 4.750819e-01 2.002542e-01
[20,] 2.117216e+00 1.855254e+00 1.347206e+00 7.899852e-01 3.761743e-01
[21,] 1.987728e+00 2.015126e+00 1.671999e+00 1.109443e+00 5.955989e-01
[22,] 1.594825e+00 1.860374e+00 1.755723e+00 1.314404e+00 7.943539e-01
[23,] 1.090456e+00 1.456557e+00 1.557655e+00 1.312630e+00 8.920676e-01
[24,] 6.339623e-01 9.654572e-01 1.166305e+00 1.104300e+00 8.432986e-01
[25,] 3.127954e-01 5.410272e-01 7.364034e-01 7.822875e-01 6.709253e-01
[26,] 1.307675e-01 2.560361e-01 3.918290e-01 4.664757e-01 4.491691e-01
[27,] 4.625739e-02 1.022315e-01 1.756016e-01 2.340763e-01 2.530119e-01
[28,] 1.382899e-02 3.441501e-02 6.625714e-02 9.882356e-02 1.199050e-01
[29,] 3.490538e-03 9.761809e-03 2.104102e-02 3.509688e-02 4.780631e-02
[30,] 7.432293e-04 2.331960e-03 5.622359e-03 1.048407e-02 1.603610e-02
[31,] 1.334069e-04 4.689749e-04 1.263860e-03 2.633969e-03 4.526282e-03
[32,] 2.017491e-05 7.937442e-05 2.389682e-04 5.565457e-04 1.075469e-03
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[44,] 2.575773e-01 7.418265e-02 1.735339e-02 3.452857e-03 6.791586e-04
[45,] 2.547945e-01 7.609527e-02 1.818657e-02 3.492481e-03 5.659067e-04
[46,] 2.344248e-01 7.359699e-02 1.846219e-02 3.662043e-03 5.776826e-04
[47,] 1.953083e-01 6.506798e-02 1.737894e-02 3.660161e-03 6.033406e-04
[48,] 1.442010e-01 5.128995e-02 1.471196e-02 3.334859e-03 5.897707e-04
[49,] 9.296154e-02 3.540272e-02 1.095640e-02 2.692871e-03 5.170859e-04
[50,] 5.186065e-02 2.115490e-02 7.074627e-03 1.891930e-03 3.968306e-04

> 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  
     -8.766        3.237  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> system("convert tmp/139eu1257167953.ps tmp/139eu1257167953.png")
> system("convert tmp/29epj1257167953.ps tmp/29epj1257167953.png")
> system("convert tmp/3936w1257167953.ps tmp/3936w1257167953.png")
> system("convert tmp/46q3i1257167953.ps tmp/46q3i1257167953.png")
> system("convert tmp/5orbe1257167953.ps tmp/5orbe1257167953.png")
> system("convert tmp/62eho1257167953.ps tmp/62eho1257167953.png")
> system("convert tmp/7mru41257167953.ps tmp/7mru41257167953.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.947   1.248   2.802