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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> z <- c(93.5,94.7,112.9,99.2,105.6,113,83.1,81.1,96.9,104.3,97.7,102.6,89.9,96,112.7,107.1,106.2,121,101.2,83.2,105.1,113.3,99.1,100.3,93.5,98.8,106.2,98.3,102.1,117.1,101.5,80.5,105.9,109.5,97.2,114.5,93.5,100.9,121.1,116.5,109.3,118.1,108.3,105.4,116.2,111.2,105.8,122.7,99.5,107.9,124.6,115,110.3,132.7,99.7,96.5,118.7,112.9,130.5,137.9,115,116.8,140.9,120.7,134.2,147.3,112.4,107.1,128.4,137.7,135,151,137.4,132.4,161.3,139.8,146,166.5,143.3,121,152.6,154.4,154.6,158)
> y <- c(97.3,101,113.2,101,105.7,113.9,86.4,96.5,103.3,114.9,105.8,94.2,98.4,99.4,108.8,112.6,104.4,112.2,81.1,97.1,112.6,113.8,107.8,103.2,103.3,101.2,107.7,110.4,101.9,115.9,89.9,88.6,117.2,123.9,100,103.6,94.1,98.7,119.5,112.7,104.4,124.7,89.1,97,121.6,118.8,114,111.5,97.2,102.5,113.4,109.8,104.9,126.1,80,96.8,117.2,112.3,117.3,111.1,102.2,104.3,122.9,107.6,121.3,131.5,89,104.4,128.9,135.9,133.3,121.3,120.5,120.4,137.9,126.1,133.2,151.1,105,119,140.4,156.6,137.1,122.7)
> x <- c(106.7,110.2,125.9,100.1,106.4,114.8,81.3,87,104.2,108,105,94.5,92,95.9,108.8,103.4,102.1,110.1,83.2,82.7,106.8,113.7,102.5,96.6,92.1,95.6,102.3,98.6,98.2,104.5,84,73.8,103.9,106,97.2,102.6,89,93.8,116.7,106.8,98.5,118.7,90,91.9,113.3,113.1,104.1,108.7,96.7,101,116.9,105.8,99,129.4,83,88.9,115.9,104.2,113.4,112.2,100.8,107.3,126.6,102.9,117.9,128.8,87.5,93.8,122.7,126.2,124.6,116.7,115.2,111.1,129.9,113.3,118.5,137.9,103.6,101.7,127.4,137.5,128.3,118.2)
> par7 = 'Variable Z'
> par6 = 'Variable Y'
> par5 = 'Variable X'
> 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/11a8i1226319036.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/2auq41226319036.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/3b5y81226319036.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/4nujb1226319036.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/56go01226319036.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  
     5.1145       0.9973  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6lxn71226319036.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]  70.84866  72.78544  74.72223  76.65902  78.59581  80.53260  82.46939
 [8]  84.40618  86.34297  88.27976  90.21655  92.15334  94.09013  96.02692
[15]  97.96371  99.90050 101.83729 103.77408 105.71087 107.64766 109.58445
[22] 111.52124 113.45803 115.39482 117.33161 119.26839 121.20518 123.14197
[29] 125.07876 127.01555 128.95234 130.88913 132.82592 134.76271 136.69950
[36] 138.63629 140.57308 142.50987 144.44666 146.38345 148.32024 150.25703
[43] 152.19382 154.13061 156.06740 158.00419 159.94098 161.87777 163.81456
[50] 165.75134

$yords
 [1]  70.80177  72.95271  75.10366  77.25461  79.40556  81.55651  83.70746
 [8]  85.85840  88.00935  90.16030  92.31125  94.46220  96.61315  98.76409
[15] 100.91504 103.06599 105.21694 107.36789 109.51884 111.66978 113.82073
[22] 115.97168 118.12263 120.27358 122.42453 124.57547 126.72642 128.87737
[29] 131.02832 133.17927 135.33022 137.48116 139.63211 141.78306 143.93401
[36] 146.08496 148.23591 150.38685 152.53780 154.68875 156.83970 158.99065
[43] 161.14160 163.29254 165.44349 167.59444 169.74539 171.89634 174.04729
[50] 176.19823

$zden
               [,1]         [,2]         [,3]         [,4]         [,5]
 [1,]  7.415104e-04 4.956351e-04 2.508101e-04 1.145266e-04 1.110002e-04
 [2,]  1.831188e-03 1.523537e-03 9.627850e-04 4.747114e-04 2.432124e-04
 [3,]  3.561166e-03 3.591329e-03 2.821493e-03 1.706816e-03 8.493585e-04
 [4,]  5.624367e-03 6.662263e-03 6.348577e-03 4.756862e-03 2.813206e-03
 [5,]  7.409623e-03 1.004389e-02 1.124368e-02 1.021699e-02 7.423451e-03
 [6,]  8.358930e-03 1.269351e-02 1.620971e-02 1.730076e-02 1.522058e-02
 [7,]  8.525680e-03 1.392366e-02 1.972006e-02 2.392374e-02 2.470514e-02
 [8,]  8.618016e-03 1.413987e-02 2.115053e-02 2.815614e-02 3.292270e-02
 [9,]  8.913437e-03 1.449350e-02 2.149235e-02 2.971331e-02 3.772940e-02
[10,]  8.551024e-03 1.502734e-02 2.227339e-02 3.028353e-02 3.939590e-02
[11,]  6.746108e-03 1.408955e-02 2.293243e-02 3.147994e-02 4.016501e-02
[12,]  4.092691e-03 1.069654e-02 2.085812e-02 3.179371e-02 4.130506e-02
[13,]  1.858151e-03 6.209037e-03 1.518095e-02 2.782058e-02 4.031235e-02
[14,]  6.250917e-04 2.693163e-03 8.417013e-03 1.933020e-02 3.361473e-02
[15,]  1.552309e-04 8.654147e-04 3.485035e-03 1.021632e-02 2.218604e-02
[16,]  2.841179e-05 2.053295e-04 1.069271e-03 4.033963e-03 1.114972e-02
[17,]  3.829500e-06 3.591616e-05 2.423349e-04 1.181248e-03 4.193759e-03
[18,]  3.798971e-07 4.627827e-06 4.050754e-05 2.556920e-04 1.171670e-03
[19,]  2.772546e-08 4.389996e-07 4.989687e-06 4.084781e-05 2.422961e-04
[20,]  1.488060e-09 3.064504e-08 4.526719e-07 4.811964e-06 3.702567e-05
[21,]  5.871632e-11 1.573698e-09 3.023525e-08 4.178371e-07 4.178564e-06
[22,]  1.702953e-12 5.943906e-11 1.486745e-09 2.674868e-08 3.484897e-07
[23,]  3.630178e-14 1.651438e-12 5.384788e-11 1.264052e-09 2.153748e-08
[24,]  5.689251e-16 3.377697e-14 1.439027e-12 4.425925e-11 9.936453e-10
[25,]  6.561803e-18 5.096889e-16 2.850528e-14 1.158658e-12 3.480342e-11
[26,]  5.584681e-20 5.705551e-18 4.230797e-16 2.313772e-14 9.572863e-13
[27,]  3.530098e-22 4.798112e-20 4.815307e-18 3.662539e-16 2.180809e-14
[28,]  1.681527e-24 3.112224e-22 4.385319e-20 4.859683e-18 4.331325e-16
[29,]  6.217367e-27 1.630670e-24 3.382728e-22 5.654076e-20 7.549918e-18
[30,]  1.874935e-29 7.303437e-27 2.294445e-24 5.732832e-22 1.104018e-19
[31,]  4.871866e-32 2.877945e-29 1.344922e-26 4.811803e-24 1.279546e-21
[32,]  1.112337e-34 9.711470e-32 6.448591e-29 3.167089e-26 1.129888e-23
[33,]  2.154166e-37 2.651850e-34 2.403806e-31 1.578686e-28 7.444571e-26
[34,]  3.342720e-40 5.588976e-37 6.754647e-34 5.854568e-31 3.624421e-28
[35,]  3.978622e-43 8.846115e-40 1.409046e-36 1.602220e-33 1.298282e-30
[36,]  3.545160e-46 1.037624e-42 2.166994e-39 3.224282e-36 3.415300e-33
[37,]  2.337675e-49 8.966193e-46 2.449589e-42 4.763929e-39 6.592887e-36
[38,]  1.134860e-52 5.692953e-49 2.032698e-45 5.164612e-42 9.336063e-39
[39,]  4.047121e-56 2.653083e-52 1.237540e-48 4.107061e-45 9.696863e-42
[40,]  1.059216e-59 9.070800e-56 5.526530e-52 2.395493e-48 7.386719e-45
[41,]  2.033685e-63 2.274762e-59 1.810131e-55 1.024726e-51 4.126801e-48
[42,]  2.863958e-67 4.183919e-63 4.348214e-59 3.214825e-55 1.690868e-51
[43,]  2.958090e-71 5.643914e-67 7.660481e-63 7.396879e-59 5.080957e-55
[44,]  2.240746e-75 5.583538e-71 9.897623e-67 1.248155e-62 1.119721e-58
[45,]  1.244851e-79 4.051163e-75 9.378767e-71 1.544641e-66 1.809727e-62
[46,]  5.071896e-84 2.155647e-79 6.517604e-75 1.401891e-70 2.145081e-66
[47,]  1.515528e-88 8.412313e-84 3.321771e-79 9.331254e-75 1.864719e-70
[48,]  3.321115e-93 2.407574e-88 1.241590e-83 4.555045e-79 1.188804e-74
[49,]  5.337577e-98 5.053405e-93 3.403505e-88 1.630741e-83 5.558356e-79
[50,] 6.291153e-103 7.778832e-98 6.842279e-93 4.281575e-88 1.905939e-83
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 3.015429e-04 9.836934e-04 2.752833e-03 5.884627e-03 9.191505e-03
 [2,] 2.929186e-04 7.401438e-04 2.125830e-03 5.392683e-03 1.064004e-02
 [3,] 5.210926e-04 7.295101e-04 1.657199e-03 4.154228e-03 9.504692e-03
 [4,] 1.484863e-03 1.125505e-03 1.689401e-03 3.388157e-03 7.367229e-03
 [5,] 4.430448e-03 2.613786e-03 2.394920e-03 3.600317e-03 6.331216e-03
 [6,] 1.099421e-02 6.882688e-03 4.679226e-03 4.875794e-03 7.016759e-03
 [7,] 2.151955e-02 1.593007e-02 1.079755e-02 8.386534e-03 9.283529e-03
 [8,] 3.360902e-02 2.976540e-02 2.316031e-02 1.713667e-02 1.463074e-02
 [9,] 4.343652e-02 4.492672e-02 4.129656e-02 3.401566e-02 2.700937e-02
[10,] 4.880571e-02 5.666510e-02 6.042103e-02 5.783204e-02 4.977710e-02
[11,] 5.054031e-02 6.269961e-02 7.460299e-02 8.200857e-02 8.059336e-02
[12,] 5.106192e-02 6.417442e-02 8.122060e-02 9.894929e-02 1.104284e-01
[13,] 5.098341e-02 6.332232e-02 8.150180e-02 1.054302e-01 1.295579e-01
[14,] 4.727457e-02 6.019740e-02 7.747362e-02 1.028866e-01 1.342859e-01
[15,] 3.716528e-02 5.218551e-02 6.921113e-02 9.364780e-02 1.269674e-01
[16,] 2.316438e-02 3.827308e-02 5.555782e-02 7.859010e-02 1.110596e-01
[17,] 1.103792e-02 2.239418e-02 3.777272e-02 5.861887e-02 8.868974e-02
[18,] 3.951045e-03 1.009363e-02 2.068942e-02 3.712112e-02 6.261881e-02
[19,] 1.053625e-03 3.439915e-03 8.830031e-03 1.915861e-02 3.768099e-02
[20,] 2.085152e-04 8.783082e-04 2.880597e-03 7.822988e-03 1.870689e-02
[21,] 3.058580e-05 1.674377e-04 7.120560e-04 2.484240e-03 7.481866e-03
[22,] 3.329449e-06 2.387181e-05 1.334466e-04 6.111727e-04 2.384740e-03
[23,] 2.704027e-07 2.568318e-06 1.919830e-05 1.179467e-04 6.099769e-04
[24,] 1.660627e-08 2.131266e-07 2.184338e-06 1.843870e-05 1.286285e-04
[25,] 7.934299e-10 1.421420e-08 2.062646e-07 2.443114e-06 2.318595e-05
[26,] 3.096156e-11 8.050406e-10 1.693055e-08 2.824949e-07 3.630255e-06
[27,] 1.042771e-12 4.012292e-11 1.214769e-09 2.805353e-08 4.818172e-07
[28,] 3.095499e-14 1.728437e-12 7.303966e-11 2.278545e-09 5.168586e-08
[29,] 7.823260e-16 6.094074e-14 3.485703e-12 1.443422e-10 4.295119e-09
[30,] 1.588810e-17 1.671834e-15 1.269920e-13 6.916217e-12 2.691654e-10
[31,] 2.479157e-19 3.460014e-17 3.457450e-15 2.466181e-13 1.253907e-11
[32,] 2.898627e-21 5.318873e-19 6.962425e-17 6.493093e-15 4.311554e-13
[33,] 2.509121e-23 6.030085e-21 1.032167e-18 1.257658e-16 1.090574e-14
[34,] 1.599413e-25 5.025981e-23 1.124114e-20 1.789080e-18 2.025980e-16
[35,] 7.490254e-28 3.075490e-25 8.985363e-23 1.867750e-20 2.762145e-18
[36,] 2.574506e-30 1.380842e-27 5.269188e-25 1.430461e-22 2.762701e-20
[37,] 6.491808e-33 4.547744e-30 2.266486e-27 8.035814e-25 2.026859e-22
[38,] 1.200692e-35 1.098553e-32 7.150344e-30 3.310908e-27 1.090637e-24
[39,] 1.628761e-38 1.946241e-35 1.654430e-32 1.000488e-29 4.304139e-27
[40,] 1.620420e-41 2.528793e-38 2.807435e-35 2.217260e-32 1.245758e-29
[41,] 1.182323e-44 2.409721e-41 3.493875e-38 3.603777e-35 2.644346e-32
[42,] 6.326702e-48 1.684040e-44 3.188873e-41 4.295677e-38 4.116572e-35
[43,] 2.482892e-51 8.631314e-48 2.134546e-44 3.755293e-41 4.699932e-38
[44,] 7.146056e-55 3.244365e-51 1.047858e-47 2.407603e-44 3.935288e-41
[45,] 1.508390e-58 8.943778e-55 3.772574e-51 1.132046e-47 2.416571e-44
[46,] 2.335009e-62 1.808173e-58 9.960953e-55 3.903653e-51 1.088306e-47
[47,] 2.650956e-66 2.681006e-62 1.928868e-58 9.872265e-55 3.594516e-51
[48,] 2.207208e-70 2.915297e-66 2.739250e-62 1.831007e-58 8.706784e-55
[49,] 1.347794e-74 2.324914e-70 2.852987e-66 2.490589e-62 1.546727e-58
[50,] 6.035738e-79 1.359746e-74 2.179189e-70 2.484513e-66 2.015102e-62
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 1.034090e-02 8.360728e-03 4.878001e-03 2.075556e-03 6.566192e-04
 [2,] 1.545846e-02 1.624868e-02 1.233673e-02 6.817487e-03 2.788763e-03
 [3,] 1.728831e-02 2.339082e-02 2.304684e-02 1.653692e-02 8.753129e-03
 [4,] 1.513001e-02 2.535092e-02 3.201552e-02 2.972898e-02 2.035683e-02
 [5,] 1.190569e-02 2.186412e-02 3.375279e-02 3.994872e-02 3.524727e-02
 [6,] 1.082254e-02 1.761248e-02 2.887202e-02 4.114149e-02 4.592358e-02
 [7,] 1.246889e-02 1.694279e-02 2.396983e-02 3.511997e-02 4.638269e-02
 [8,] 1.631438e-02 2.019792e-02 2.434133e-02 3.018035e-02 3.971078e-02
 [9,] 2.424047e-02 2.632337e-02 2.989774e-02 3.222322e-02 3.540105e-02
[10,] 4.125412e-02 3.759072e-02 3.901817e-02 4.067179e-02 3.960914e-02
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[22,] 3.249335e-08 1.421584e-09 4.429477e-11 9.828499e-13 1.552881e-14
[23,] 2.378089e-07 1.337913e-08 5.366910e-10 1.534792e-11 3.128551e-13
[24,] 1.542795e-06 1.105191e-07 5.650312e-09 2.061444e-10 5.366621e-12
[25,] 9.372565e-06 8.533582e-07 5.543418e-08 2.569139e-09 8.495377e-11
[26,] 5.117502e-05 5.972079e-06 4.967913e-07 2.945294e-08 1.244502e-09
[27,] 2.300810e-04 3.472362e-05 3.734250e-06 2.860116e-07 1.559891e-08
[28,] 7.995041e-04 1.567507e-04 2.191153e-05 2.181284e-06 1.545745e-07
[29,] 2.084031e-03 5.312698e-04 9.671897e-05 1.254647e-05 1.158663e-06
[30,] 4.032592e-03 1.334228e-03 3.163121e-04 5.350375e-05 6.445930e-06
[31,] 5.789669e-03 2.473835e-03 7.624027e-04 1.680830e-04 2.642076e-05
[32,] 6.220018e-03 3.392272e-03 1.353187e-03 3.882356e-04 7.958360e-05
[33,] 5.173112e-03 3.474892e-03 1.773310e-03 6.595068e-04 1.760620e-04
[34,] 3.866235e-03 2.783647e-03 1.737168e-03 8.266328e-04 2.862797e-04
[35,] 3.925390e-03 2.158427e-03 1.357595e-03 7.772116e-04 3.435390e-04
[36,] 6.154629e-03 2.576748e-03 1.136554e-03 6.026530e-04 3.114542e-04
[37,] 9.719985e-03 4.396594e-03 1.595824e-03 5.665481e-04 2.450138e-04
[38,] 1.254813e-02 6.870184e-03 2.852006e-03 9.167967e-04 2.669311e-04
[39,] 1.352521e-02 8.611728e-03 4.364032e-03 1.667040e-03 4.819655e-04
[40,] 1.410766e-02 9.265221e-03 5.356827e-03 2.489389e-03 8.745022e-04
[41,] 1.635451e-02 1.031938e-02 5.922461e-03 3.034010e-03 1.276942e-03
[42,] 1.943864e-02 1.311876e-02 7.267718e-03 3.560592e-03 1.575887e-03
[43,] 1.986477e-02 1.626522e-02 1.003956e-02 4.883470e-03 2.024307e-03
[44,] 1.579314e-02 1.653950e-02 1.267390e-02 7.160966e-03 3.086929e-03
[45,] 9.422260e-03 1.279469e-02 1.263417e-02 9.015474e-03 4.677865e-03
[46,] 4.230016e-03 7.356936e-03 9.443286e-03 8.726193e-03 5.786651e-03
[47,] 1.653717e-03 3.158686e-03 5.217102e-03 6.276821e-03 5.407164e-03
[48,] 1.122588e-03 1.139200e-03 2.140843e-03 3.326514e-03 3.734919e-03
[49,] 1.574853e-03 6.491088e-04 7.157542e-04 1.304714e-03 1.897257e-03
[50,] 2.114771e-03 8.139750e-04 3.414113e-04 4.067850e-04 7.114647e-04

> 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  
     -6.722        1.099  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/747c71226319036.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]  64.89168  66.56345  68.23522  69.90698  71.57875  73.25052  74.92229
 [8]  76.59406  78.26583  79.93759  81.60936  83.28113  84.95290  86.62467
[15]  88.29643  89.96820  91.63997  93.31174  94.98351  96.65528  98.32704
[22]  99.99881 101.67058 103.34235 105.01412 106.68588 108.35765 110.02942
[29] 111.70119 113.37296 115.04472 116.71649 118.38826 120.06003 121.73180
[36] 123.40357 125.07533 126.74710 128.41887 130.09064 131.76241 133.43417
[43] 135.10594 136.77771 138.44948 140.12125 141.79302 143.46478 145.13655
[50] 146.80832

$yords
 [1]  70.80177  72.95271  75.10366  77.25461  79.40556  81.55651  83.70746
 [8]  85.85840  88.00935  90.16030  92.31125  94.46220  96.61315  98.76409
[15] 100.91504 103.06599 105.21694 107.36789 109.51884 111.66978 113.82073
[22] 115.97168 118.12263 120.27358 122.42453 124.57547 126.72642 128.87737
[29] 131.02832 133.17927 135.33022 137.48116 139.63211 141.78306 143.93401
[36] 146.08496 148.23591 150.38685 152.53780 154.68875 156.83970 158.99065
[43] 161.14160 163.29254 165.44349 167.59444 169.74539 171.89634 174.04729
[50] 176.19823

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 5.855588e-03 6.205961e-03 4.743742e-03 2.636010e-03 1.176220e-03
 [2,] 7.233279e-03 9.305634e-03 8.833279e-03 6.102507e-03 3.181286e-03
 [3,] 7.817868e-03 1.161783e-02 1.328955e-02 1.131348e-02 7.146933e-03
 [4,] 7.947818e-03 1.284752e-02 1.681517e-02 1.710124e-02 1.312011e-02
 [5,] 7.933656e-03 1.348052e-02 1.909019e-02 2.200831e-02 1.994239e-02
 [6,] 7.760135e-03 1.382654e-02 2.071355e-02 2.576089e-02 2.622687e-02
 [7,] 7.447583e-03 1.368674e-02 2.183077e-02 2.897408e-02 3.182575e-02
 [8,] 7.158387e-03 1.306951e-02 2.188220e-02 3.140143e-02 3.722152e-02
 [9,] 6.770657e-03 1.233824e-02 2.083552e-02 3.192641e-02 4.154956e-02
[10,] 5.855475e-03 1.141490e-02 1.935991e-02 3.042014e-02 4.298457e-02
[11,] 4.294054e-03 9.688712e-03 1.752019e-02 2.791394e-02 4.120120e-02
[12,] 2.554468e-03 7.011682e-03 1.457329e-02 2.472697e-02 3.752271e-02
[13,] 1.216176e-03 4.142698e-03 1.039904e-02 2.013000e-02 3.259693e-02
[14,] 4.765844e-04 1.985248e-03 6.118396e-03 1.416222e-02 2.596225e-02
[15,] 1.770825e-04 8.183822e-04 2.991157e-03 8.350494e-03 1.804754e-02
[16,] 8.515791e-05 3.599294e-04 1.351860e-03 4.264994e-03 1.080112e-02
[17,] 5.695997e-05 2.221918e-04 7.396820e-04 2.223762e-03 5.967431e-03
[18,] 3.942648e-05 1.697080e-04 5.613664e-04 1.528401e-03 3.729095e-03
[19,] 2.350654e-05 1.216467e-04 4.631074e-04 1.334487e-03 3.093387e-03
[20,] 1.146755e-05 7.307651e-05 3.378682e-04 1.145809e-03 2.924006e-03
[21,] 4.513110e-06 3.571308e-05 2.037602e-04 8.429631e-04 2.556528e-03
[22,] 1.422505e-06 1.405610e-05 9.967656e-05 5.093790e-04 1.887243e-03
[23,] 3.569165e-07 4.425796e-06 3.922258e-05 2.493035e-04 1.141449e-03
[24,] 7.090265e-08 1.108197e-06 1.233454e-05 9.805575e-05 5.587413e-04
[25,] 1.110090e-08 2.195041e-07 3.081669e-06 3.079187e-05 2.196161e-04
[26,] 1.364834e-09 3.424164e-08 6.085261e-07 7.674759e-06 6.885314e-05
[27,] 1.314129e-10 4.192295e-09 9.457149e-08 1.510665e-06 1.711794e-05
[28,] 9.889210e-12 4.017969e-10 1.152916e-08 2.338698e-07 3.358248e-06
[29,] 5.808028e-13 3.008833e-11 1.099826e-09 2.838707e-08 5.178537e-07
[30,] 2.659516e-14 1.758096e-12 8.195344e-11 2.695250e-09 6.258063e-08
[31,] 9.488115e-16 8.008130e-14 4.764084e-12 1.998402e-10 5.913708e-09
[32,] 2.636036e-17 2.841710e-15 2.158628e-13 1.155737e-11 4.362998e-10
[33,] 5.701310e-19 7.852259e-17 7.619008e-15 5.209202e-13 2.510368e-11
[34,] 9.597338e-21 1.689044e-18 2.093915e-16 1.828827e-14 1.125602e-12
[35,] 1.257228e-22 2.827672e-20 4.479576e-18 4.999154e-16 3.930992e-14
[36,] 1.281504e-24 3.683813e-22 7.458459e-20 1.063728e-17 1.068905e-15
[37,] 1.016342e-26 3.734287e-24 9.663670e-22 1.761583e-19 2.262555e-17
[38,] 6.271196e-29 2.945298e-26 9.742653e-24 2.270201e-21 3.727524e-19
[39,] 3.010514e-31 1.807370e-28 7.642484e-26 2.276612e-23 4.779403e-21
[40,] 1.124353e-33 8.628823e-31 4.664475e-28 1.776503e-25 4.769255e-23
[41,] 3.266875e-36 3.205077e-33 2.215027e-30 1.078689e-27 3.703926e-25
[42,] 7.384675e-39 9.262116e-36 8.184063e-33 5.096752e-30 2.238930e-27
[43,] 1.298661e-41 2.082413e-38 2.352769e-35 1.874034e-32 1.053490e-29
[44,] 1.776774e-44 3.642660e-41 5.262953e-38 5.362734e-35 3.859268e-32
[45,] 1.891238e-47 4.957680e-44 9.161051e-41 1.194456e-37 1.100936e-34
[46,] 1.566200e-50 5.250062e-47 1.240973e-43 2.071086e-40 2.446432e-37
[47,] 1.009132e-53 4.326147e-50 1.308363e-46 2.796159e-43 4.236326e-40
[48,] 5.059007e-57 2.774101e-53 1.073759e-49 2.940237e-46 5.719455e-43
[49,] 1.973433e-60 1.384431e-56 6.860930e-53 2.408894e-49 6.024426e-46
[50,] 5.990314e-64 5.377832e-60 3.414026e-56 1.538413e-52 4.954921e-49
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 6.119638e-04 4.876865e-04 4.003964e-04 2.563518e-04 1.240341e-04
 [2,] 1.567620e-03 1.134828e-03 1.055475e-03 8.332278e-04 4.941140e-04
 [3,] 3.720989e-03 2.352926e-03 2.249559e-03 2.142741e-03 1.575069e-03
 [4,] 7.811254e-03 4.575549e-03 4.018295e-03 4.380012e-03 3.980997e-03
 [5,] 1.398239e-02 8.405001e-03 6.391353e-03 7.239514e-03 7.963476e-03
 [6,] 2.133590e-02 1.415723e-02 9.688937e-03 1.007518e-02 1.269724e-02
 [7,] 2.883855e-02 2.148791e-02 1.450375e-02 1.275449e-02 1.653091e-02
 [8,] 3.652732e-02 2.999631e-02 2.136283e-02 1.628340e-02 1.868837e-02
 [9,] 4.458542e-02 3.991972e-02 3.073941e-02 2.239388e-02 2.074521e-02
[10,] 5.138557e-02 5.099509e-02 4.304374e-02 3.263797e-02 2.596878e-02
[11,] 5.433741e-02 6.081114e-02 5.745925e-02 4.755287e-02 3.716440e-02
[12,] 5.275613e-02 6.605034e-02 7.086349e-02 6.570154e-02 5.496457e-02
[13,] 4.800419e-02 6.543070e-02 7.928039e-02 8.334053e-02 7.728699e-02
[14,] 4.105349e-02 5.993143e-02 8.052626e-02 9.584773e-02 9.981405e-02
[15,] 3.205651e-02 5.076807e-02 7.470018e-02 9.980116e-02 1.171870e-01
[16,] 2.216244e-02 3.910908e-02 6.316211e-02 9.398875e-02 1.244355e-01
[17,] 1.374115e-02 2.721858e-02 4.849993e-02 7.987251e-02 1.187895e-01
[18,] 8.504360e-03 1.788395e-02 3.447302e-02 6.179538e-02 1.018655e-01
[19,] 6.351430e-03 1.255009e-02 2.427323e-02 4.527375e-02 7.994676e-02
[20,] 5.949925e-03 1.069380e-02 1.887025e-02 3.386327e-02 6.035386e-02
[21,] 5.832810e-03 1.062801e-02 1.723840e-02 2.792916e-02 4.692856e-02
[22,] 5.129908e-03 1.052284e-02 1.738438e-02 2.597576e-02 3.943522e-02
[23,] 3.789533e-03 9.245251e-03 1.711311e-02 2.585006e-02 3.609125e-02
[24,] 2.292583e-03 6.823191e-03 1.495673e-02 2.505377e-02 3.483641e-02
[25,] 1.122097e-03 4.127025e-03 1.101579e-02 2.171796e-02 3.301201e-02
[26,] 4.406631e-04 2.019271e-03 6.659148e-03 1.594884e-02 2.831343e-02
[27,] 1.379084e-04 7.921729e-04 3.256497e-03 9.633170e-03 2.071684e-02
[28,] 3.419476e-05 2.474403e-04 1.276077e-03 4.708092e-03 1.250165e-02
[29,] 6.685568e-06 6.118464e-05 3.978062e-04 1.842846e-03 6.107697e-03
[30,] 1.026829e-06 1.192131e-05 9.809705e-05 5.734483e-04 2.389045e-03
[31,] 1.235413e-07 1.823726e-06 1.904964e-05 1.410644e-04 7.425563e-04
[32,] 1.161944e-08 2.184697e-07 2.903273e-06 2.731472e-05 1.823934e-04
[33,] 8.530637e-10 2.045426e-08 3.464004e-07 4.150050e-06 3.526282e-05
[34,] 4.883793e-11 1.494686e-09 3.229921e-08 4.936320e-07 5.350715e-06
[35,] 2.178769e-12 8.517083e-11 2.350753e-09 4.589658e-08 6.360088e-07
[36,] 7.570819e-14 3.782195e-12 1.334406e-10 3.332473e-09 5.915247e-08
[37,] 2.048458e-15 1.308429e-13 5.905283e-12 1.888607e-10 4.302442e-09
[38,] 4.315074e-17 3.525519e-15 2.036942e-13 8.352963e-12 2.447296e-10
[39,] 7.076145e-19 7.398476e-17 5.476589e-15 2.883621e-13 1.089138e-11
[40,] 9.033485e-21 1.209312e-18 1.147954e-16 7.773792e-15 3.795554e-13
[41,] 8.978383e-23 1.539897e-20 1.876679e-18 1.637737e-16 1.037039e-14
[42,] 6.948509e-25 1.528044e-22 2.394202e-20 2.699080e-18 2.224955e-16
[43,] 4.188232e-27 1.182108e-24 2.385486e-22 3.484274e-20 3.755318e-18
[44,] 1.966774e-29 7.133641e-27 1.858160e-24 3.528781e-22 4.996253e-20
[45,] 7.198589e-32 3.360709e-29 1.133008e-26 2.809008e-24 5.250463e-22
[46,] 2.054710e-34 1.237194e-31 5.416200e-29 1.761069e-26 4.366328e-24
[47,] 4.576934e-37 3.563324e-34 2.033504e-31 8.713699e-29 2.877691e-26
[48,] 7.963670e-40 8.041147e-37 6.008274e-34 3.409509e-31 1.504423e-28
[49,] 1.083567e-42 1.424197e-39 1.399975e-36 1.056738e-33 6.239795e-31
[50,] 1.154514e-45 1.983593e-42 2.577797e-39 2.597317e-36 2.052095e-33
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 4.928708e-05 1.879682e-05 7.298031e-06 2.526239e-06 6.774038e-07
 [2,] 2.269729e-04 9.159714e-05 3.738619e-05 1.485233e-05 4.892158e-06
 [3,] 8.694569e-04 3.892117e-04 1.647560e-04 7.127507e-05 2.794449e-05
 [4,] 2.703291e-03 1.410088e-03 6.359001e-04 2.874283e-04 1.280598e-04
 [5,] 6.715668e-03 4.232422e-03 2.136952e-03 1.003264e-03 4.817983e-04
 [6,] 1.323600e-02 1.028721e-02 6.099150e-03 3.075292e-03 1.534862e-03
 [7,] 2.073094e-02 1.998587e-02 1.437663e-02 8.194171e-03 4.261482e-03
 [8,] 2.621553e-02 3.095513e-02 2.743856e-02 1.848571e-02 1.042082e-02
 [9,] 2.809348e-02 3.867516e-02 4.208632e-02 3.442015e-02 2.212996e-02
[10,] 2.865005e-02 4.064020e-02 5.234663e-02 5.220060e-02 3.977618e-02
[11,] 3.294277e-02 3.990923e-02 5.489088e-02 6.486595e-02 5.939474e-02
[12,] 4.514069e-02 4.337547e-02 5.347993e-02 6.858081e-02 7.384976e-02
[13,] 6.597336e-02 5.652617e-02 5.654035e-02 6.758154e-02 7.931733e-02
[14,] 9.275427e-02 8.020949e-02 7.056633e-02 7.113608e-02 8.018106e-02
[15,] 1.206063e-01 1.112805e-01 9.651550e-02 8.612344e-02 8.559757e-02
[16,] 1.432764e-01 1.443686e-01 1.310472e-01 1.134986e-01 1.019832e-01
[17,] 1.540333e-01 1.722160e-01 1.685120e-01 1.500404e-01 1.300146e-01
[18,] 1.485303e-01 1.862832e-01 2.007239e-01 1.902094e-01 1.668073e-01
[19,] 1.286530e-01 1.808197e-01 2.175096e-01 2.252526e-01 2.073946e-01
[20,] 1.025817e-01 1.580704e-01 2.120023e-01 2.438037e-01 2.431057e-01
[21,] 7.922665e-02 1.278010e-01 1.867829e-01 2.382266e-01 2.621247e-01
[22,] 6.262194e-02 1.000617e-01 1.526494e-01 2.112683e-01 2.564689e-01
[23,] 5.211449e-02 7.901394e-02 1.201971e-01 1.740466e-01 2.287752e-01
[24,] 4.597032e-02 6.396330e-02 9.371060e-02 1.370674e-01 1.897038e-01
[25,] 4.253387e-02 5.366383e-02 7.296729e-02 1.047728e-01 1.490545e-01
[26,] 3.917763e-02 4.714115e-02 5.766171e-02 7.793582e-02 1.114216e-01
[27,] 3.317004e-02 4.195934e-02 4.764875e-02 5.756049e-02 7.896124e-02
[28,] 2.417205e-02 3.499736e-02 4.073178e-02 4.432280e-02 5.421549e-02
[29,] 1.457969e-02 2.541059e-02 3.343214e-02 3.617745e-02 3.857760e-02
[30,] 7.126892e-03 1.534651e-02 2.425090e-02 2.928250e-02 2.998771e-02
[31,] 2.789698e-03 7.526653e-03 1.473997e-02 2.139963e-02 2.418865e-02
[32,] 8.677685e-04 2.959415e-03 7.304425e-03 1.325402e-02 1.816855e-02
[33,] 2.133897e-04 9.258637e-04 2.911160e-03 6.740373e-03 1.175031e-02
[34,] 4.133408e-05 2.293965e-04 9.264215e-04 2.773411e-03 6.295421e-03
[35,] 6.292134e-06 4.488354e-05 2.344823e-04 9.166841e-04 2.745227e-03
[36,] 7.517544e-07 6.924793e-06 4.711004e-05 2.424679e-04 9.655379e-04
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[49,] 5.373478e-03 7.220957e-03 9.413550e-03 9.374487e-03 6.748375e-03
[50,] 3.501042e-03 3.710135e-03 5.230947e-03 6.411092e-03 5.804220e-03

> 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  
    -12.783        1.206  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> system("convert tmp/11a8i1226319036.ps tmp/11a8i1226319036.png")
> system("convert tmp/2auq41226319036.ps tmp/2auq41226319036.png")
> system("convert tmp/3b5y81226319036.ps tmp/3b5y81226319036.png")
> system("convert tmp/4nujb1226319036.ps tmp/4nujb1226319036.png")
> system("convert tmp/56go01226319036.ps tmp/56go01226319036.png")
> system("convert tmp/6lxn71226319036.ps tmp/6lxn71226319036.png")
> system("convert tmp/747c71226319036.ps tmp/747c71226319036.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.246   1.321   2.634