# HG changeset patch
# User devteam
# Date 1400517294 14400
# Node ID 7a092113eb8c636e2d4b29676076cfaafff97ea3
Imported from capsule None
diff -r 000000000000 -r 7a092113eb8c kcca.py
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/kcca.py Mon May 19 12:34:54 2014 -0400
@@ -0,0 +1,147 @@
+#!/usr/bin/env python
+
+"""
+Run kernel CCA using kcca() from R 'kernlab' package
+
+usage: %prog [options]
+ -i, --input=i: Input file
+ -o, --output1=o: Summary output
+ -x, --x_cols=x: X-Variable columns
+ -y, --y_cols=y: Y-Variable columns
+ -k, --kernel=k: Kernel function
+ -f, --features=f: Number of canonical components to return
+ -s, --sigma=s: sigma
+ -d, --degree=d: degree
+ -l, --scale=l: scale
+ -t, --offset=t: offset
+ -r, --order=r: order
+
+usage: %prog input output1 x_cols y_cols kernel features sigma(or_None) degree(or_None) scale(or_None) offset(or_None) order(or_None)
+"""
+
+import sys, string
+from rpy import *
+import numpy
+from bx.cookbook import doc_optparse
+import logging
+log = logging.getLogger('kcca')
+
+def stop_err(msg):
+ sys.stderr.write(msg)
+ sys.exit()
+
+#Parse Command Line
+options, args = doc_optparse.parse( __doc__ )
+#{'options= kernel': 'rbfdot', 'var_cols': '1,2,3,4', 'degree': 'None', 'output2': '/afs/bx.psu.edu/home/gua110/workspace/galaxy_bitbucket/database/files/000/dataset_260.dat', 'output1': '/afs/bx.psu.edu/home/gua110/workspace/galaxy_bitbucket/database/files/000/dataset_259.dat', 'scale': 'None', 'offset': 'None', 'input': '/afs/bx.psu.edu/home/gua110/workspace/galaxy_bitbucket/database/files/000/dataset_256.dat', 'sigma': '1.0', 'order': 'None'}
+
+infile = options.input
+x_cols = options.x_cols.split(',')
+y_cols = options.y_cols.split(',')
+kernel = options.kernel
+outfile = options.output1
+ncomps = int(options.features)
+fout = open(outfile,'w')
+
+if ncomps < 1:
+ print "You chose to return '0' canonical components. Please try rerunning the tool with number of components = 1 or more."
+ sys.exit()
+elems = []
+for i, line in enumerate( file ( infile )):
+ line = line.rstrip('\r\n')
+ if len( line )>0 and not line.startswith( '#' ):
+ elems = line.split( '\t' )
+ break
+ if i == 30:
+ break # Hopefully we'll never get here...
+
+if len( elems )<1:
+ stop_err( "The data in your input dataset is either missing or not formatted properly." )
+
+x_vals = []
+for k,col in enumerate(x_cols):
+ x_cols[k] = int(col)-1
+ x_vals.append([])
+y_vals = []
+for k,col in enumerate(y_cols):
+ y_cols[k] = int(col)-1
+ y_vals.append([])
+NA = 'NA'
+skipped = 0
+for ind,line in enumerate( file( infile )):
+ if line and not line.startswith( '#' ):
+ try:
+ fields = line.strip().split("\t")
+ valid_line = True
+ for col in x_cols+y_cols:
+ try:
+ assert float(fields[col])
+ except:
+ skipped += 1
+ valid_line = False
+ break
+ if valid_line:
+ for k,col in enumerate(x_cols):
+ try:
+ xval = float(fields[col])
+ except:
+ xval = NaN
+ x_vals[k].append(xval)
+ for k,col in enumerate(y_cols):
+ try:
+ yval = float(fields[col])
+ except:
+ yval = NaN
+ y_vals[k].append(yval)
+ except:
+ skipped += 1
+
+x_vals1 = numpy.asarray(x_vals).transpose()
+y_vals1 = numpy.asarray(y_vals).transpose()
+
+x_dat= r.list(array(x_vals1))
+y_dat= r.list(array(y_vals1))
+
+try:
+ r.suppressWarnings(r.library('kernlab'))
+except:
+ stop_err('Missing R library kernlab')
+
+set_default_mode(NO_CONVERSION)
+if kernel=="rbfdot" or kernel=="anovadot":
+ pars = r.list(sigma=float(options.sigma))
+elif kernel=="polydot":
+ pars = r.list(degree=float(options.degree),scale=float(options.scale),offset=float(options.offset))
+elif kernel=="tanhdot":
+ pars = r.list(scale=float(options.scale),offset=float(options.offset))
+elif kernel=="besseldot":
+ pars = r.list(degree=float(options.degree),sigma=float(options.sigma),order=float(options.order))
+elif kernel=="anovadot":
+ pars = r.list(degree=float(options.degree),sigma=float(options.sigma))
+else:
+ pars = rlist()
+
+try:
+ kcc = r.kcca(x=x_dat, y=y_dat, kernel=kernel, kpar=pars, ncomps=ncomps)
+except RException, rex:
+ raise
+ log.exception( rex )
+ stop_err("Encountered error while performing kCCA on the input data: %s" %(rex))
+
+set_default_mode(BASIC_CONVERSION)
+kcor = r.kcor(kcc)
+if ncomps == 1:
+ kcor = [kcor]
+xcoef = r.xcoef(kcc)
+ycoef = r.ycoef(kcc)
+
+print >>fout, "#Component\t%s" %("\t".join(["%s" % el for el in range(1,ncomps+1)]))
+
+print >>fout, "#Correlation\t%s" %("\t".join(["%.4g" % el for el in kcor]))
+
+print >>fout, "#Estimated X-coefficients\t%s" %("\t".join(["%s" % el for el in range(1,ncomps+1)]))
+for obs,val in enumerate(xcoef):
+ print >>fout, "%s\t%s" %(obs+1, "\t".join(["%.4g" % el for el in val]))
+
+print >>fout, "#Estimated Y-coefficients\t%s" %("\t".join(["%s" % el for el in range(1,ncomps+1)]))
+for obs,val in enumerate(ycoef):
+ print >>fout, "%s\t%s" %(obs+1, "\t".join(["%.4g" % el for el in val]))
diff -r 000000000000 -r 7a092113eb8c kcca.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/kcca.xml Mon May 19 12:34:54 2014 -0400
@@ -0,0 +1,154 @@
+
+
+
+ rpy
+ R
+ kernlab
+ numpy
+ bx-python
+
+
+ kcca.py
+ --input=$input1
+ --output1=$out_file1
+ --x_cols=$x_cols
+ --y_cols=$y_cols
+ --kernel=$kernelChoice.kernel
+ --features=$features
+ #if $kernelChoice.kernel == "rbfdot" or $kernelChoice.kernel == "anovadot":
+ --sigma=$kernelChoice.sigma
+ --degree="None"
+ --scale="None"
+ --offset="None"
+ --order="None"
+ #elif $kernelChoice.kernel == "polydot":
+ --sigma="None"
+ --degree=$kernelChoice.degree
+ --scale=$kernelChoice.scale
+ --offset=$kernelChoice.offset
+ --order="None"
+ #elif $kernelChoice.kernel == "tanhdot":
+ --sigma="None"
+ --degree="None"
+ --scale=$kernelChoice.scale
+ --offset=$kernelChoice.offset
+ --order="None"
+ #elif $kernelChoice.kernel == "besseldot":
+ --sigma=$kernelChoice.sigma
+ --degree=$kernelChoice.degree
+ --scale="None"
+ --offset="None"
+ --order=$kernelChoice.order
+ #elif $kernelChoice.kernel == "anovadot":
+ --sigma=$kernelChoice.sigma
+ --degree=$kernelChoice.degree
+ --scale="None"
+ --offset="None"
+ --order="None"
+ #else:
+ --sigma="None"
+ --degree="None"
+ --scale="None"
+ --offset="None"
+ --order="None"
+ #end if
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+.. class:: infomark
+
+**TIP:** If your data is not TAB delimited, use *Edit Datasets->Convert characters*
+
+-----
+
+.. class:: infomark
+
+**What it does**
+
+This tool uses functions from 'kernlab' library from R statistical package to perform Kernel Canonical Correlation Analysis (kCCA) on the input data.
+
+*Alexandros Karatzoglou, Alex Smola, Kurt Hornik, Achim Zeileis (2004). kernlab - An S4 Package for Kernel Methods in R. Journal of Statistical Software 11(9), 1-20. URL http://www.jstatsoft.org/v11/i09/*
+
+-----
+
+.. class:: warningmark
+
+**Note**
+
+This tool currently treats all variables as continuous numeric variables. Running the tool on categorical variables might result in incorrect results. Rows containing non-numeric (or missing) data in any of the chosen columns will be skipped from the analysis.
+
+
+
diff -r 000000000000 -r 7a092113eb8c test-data/1.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/1.tabular Mon May 19 12:34:54 2014 -0400
@@ -0,0 +1,6 @@
+chr22 1000 NM_17
+chr22 2000 NM_18
+chr10 2200 NM_10
+chr10 hap test
+chr10 1200 NM_11
+chr22 1600 NM_19
\ No newline at end of file
diff -r 000000000000 -r 7a092113eb8c test-data/2.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/2.tabular Mon May 19 12:34:54 2014 -0400
@@ -0,0 +1,10 @@
+1 68 4.1
+2 71 4.6
+3 62 3.8
+4 75 4.4
+5 58 3.2
+6 60 3.1
+7 67 3.8
+8 68 4.1
+9 71 4.3
+10 69 3.7
diff -r 000000000000 -r 7a092113eb8c test-data/cca_out1.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/cca_out1.tabular Mon May 19 12:34:54 2014 -0400
@@ -0,0 +1,22 @@
+#Component 1 2
+#Correlation 0.9409 0.1311
+#F-statistic 144.4 2.57
+#p-value 6.213e-68 0.1111
+#X-Coefficients 1 2
+c3 1.507 -3.378
+c4 -0.5372 3.659
+#Y-Coefficients 1 2
+c1 6.35 3.379
+c2 -2.66 6.67
+#X-Loadings 1 2
+c3 0.9894 0.1452
+c4 0.9133 0.4073
+#Y-Loadings 1 2
+c1 0.9289 0.3704
+c2 -0.4698 0.8828
+#X-CrossLoadings 1 2
+c3 0.9309 0.01904
+c4 0.8593 0.05339
+#Y-CrossLoadings 1 2
+c1 0.874 0.04855
+c2 -0.442 0.1157
diff -r 000000000000 -r 7a092113eb8c test-data/iris.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/iris.tabular Mon May 19 12:34:54 2014 -0400
@@ -0,0 +1,151 @@
+5.1 3.5 1.4 0.2 Iris-setosa
+4.9 3.0 1.4 0.2 Iris-setosa
+4.7 3.2 1.3 0.2 Iris-setosa
+4.6 3.1 1.5 0.2 Iris-setosa
+5.0 3.6 1.4 0.2 Iris-setosa
+5.4 3.9 1.7 0.4 Iris-setosa
+4.6 3.4 1.4 0.3 Iris-setosa
+5.0 3.4 1.5 0.2 Iris-setosa
+4.4 2.9 1.4 0.2 Iris-setosa
+4.9 3.1 1.5 0.1 Iris-setosa
+5.4 3.7 1.5 0.2 Iris-setosa
+4.8 3.4 1.6 0.2 Iris-setosa
+4.8 3.0 1.4 0.1 Iris-setosa
+4.3 3.0 1.1 0.1 Iris-setosa
+5.8 4.0 1.2 0.2 Iris-setosa
+5.7 4.4 1.5 0.4 Iris-setosa
+5.4 3.9 1.3 0.4 Iris-setosa
+5.1 3.5 1.4 0.3 Iris-setosa
+5.7 3.8 1.7 0.3 Iris-setosa
+5.1 3.8 1.5 0.3 Iris-setosa
+5.4 3.4 1.7 0.2 Iris-setosa
+5.1 3.7 1.5 0.4 Iris-setosa
+4.6 3.6 1.0 0.2 Iris-setosa
+5.1 3.3 1.7 0.5 Iris-setosa
+4.8 3.4 1.9 0.2 Iris-setosa
+5.0 3.0 1.6 0.2 Iris-setosa
+5.0 3.4 1.6 0.4 Iris-setosa
+5.2 3.5 1.5 0.2 Iris-setosa
+5.2 3.4 1.4 0.2 Iris-setosa
+4.7 3.2 1.6 0.2 Iris-setosa
+4.8 3.1 1.6 0.2 Iris-setosa
+5.4 3.4 1.5 0.4 Iris-setosa
+5.2 4.1 1.5 0.1 Iris-setosa
+5.5 4.2 1.4 0.2 Iris-setosa
+4.9 3.1 1.5 0.1 Iris-setosa
+5.0 3.2 1.2 0.2 Iris-setosa
+5.5 3.5 1.3 0.2 Iris-setosa
+4.9 3.1 1.5 0.1 Iris-setosa
+4.4 3.0 1.3 0.2 Iris-setosa
+5.1 3.4 1.5 0.2 Iris-setosa
+5.0 3.5 1.3 0.3 Iris-setosa
+4.5 2.3 1.3 0.3 Iris-setosa
+4.4 3.2 1.3 0.2 Iris-setosa
+5.0 3.5 1.6 0.6 Iris-setosa
+5.1 3.8 1.9 0.4 Iris-setosa
+4.8 3.0 1.4 0.3 Iris-setosa
+5.1 3.8 1.6 0.2 Iris-setosa
+4.6 3.2 1.4 0.2 Iris-setosa
+5.3 3.7 1.5 0.2 Iris-setosa
+5.0 3.3 1.4 0.2 Iris-setosa
+7.0 3.2 4.7 1.4 Iris-versicolor
+6.4 3.2 4.5 1.5 Iris-versicolor
+6.9 3.1 4.9 1.5 Iris-versicolor
+5.5 2.3 4.0 1.3 Iris-versicolor
+6.5 2.8 4.6 1.5 Iris-versicolor
+5.7 2.8 4.5 1.3 Iris-versicolor
+6.3 3.3 4.7 1.6 Iris-versicolor
+4.9 2.4 3.3 1.0 Iris-versicolor
+6.6 2.9 4.6 1.3 Iris-versicolor
+5.2 2.7 3.9 1.4 Iris-versicolor
+5.0 2.0 3.5 1.0 Iris-versicolor
+5.9 3.0 4.2 1.5 Iris-versicolor
+6.0 2.2 4.0 1.0 Iris-versicolor
+6.1 2.9 4.7 1.4 Iris-versicolor
+5.6 2.9 3.6 1.3 Iris-versicolor
+6.7 3.1 4.4 1.4 Iris-versicolor
+5.6 3.0 4.5 1.5 Iris-versicolor
+5.8 2.7 4.1 1.0 Iris-versicolor
+6.2 2.2 4.5 1.5 Iris-versicolor
+5.6 2.5 3.9 1.1 Iris-versicolor
+5.9 3.2 4.8 1.8 Iris-versicolor
+6.1 2.8 4.0 1.3 Iris-versicolor
+6.3 2.5 4.9 1.5 Iris-versicolor
+6.1 2.8 4.7 1.2 Iris-versicolor
+6.4 2.9 4.3 1.3 Iris-versicolor
+6.6 3.0 4.4 1.4 Iris-versicolor
+6.8 2.8 4.8 1.4 Iris-versicolor
+6.7 3.0 5.0 1.7 Iris-versicolor
+6.0 2.9 4.5 1.5 Iris-versicolor
+5.7 2.6 3.5 1.0 Iris-versicolor
+5.5 2.4 3.8 1.1 Iris-versicolor
+5.5 2.4 3.7 1.0 Iris-versicolor
+5.8 2.7 3.9 1.2 Iris-versicolor
+6.0 2.7 5.1 1.6 Iris-versicolor
+5.4 3.0 4.5 1.5 Iris-versicolor
+6.0 3.4 4.5 1.6 Iris-versicolor
+6.7 3.1 4.7 1.5 Iris-versicolor
+6.3 2.3 4.4 1.3 Iris-versicolor
+5.6 3.0 4.1 1.3 Iris-versicolor
+5.5 2.5 4.0 1.3 Iris-versicolor
+5.5 2.6 4.4 1.2 Iris-versicolor
+6.1 3.0 4.6 1.4 Iris-versicolor
+5.8 2.6 4.0 1.2 Iris-versicolor
+5.0 2.3 3.3 1.0 Iris-versicolor
+5.6 2.7 4.2 1.3 Iris-versicolor
+5.7 3.0 4.2 1.2 Iris-versicolor
+5.7 2.9 4.2 1.3 Iris-versicolor
+6.2 2.9 4.3 1.3 Iris-versicolor
+5.1 2.5 3.0 1.1 Iris-versicolor
+5.7 2.8 4.1 1.3 Iris-versicolor
+6.3 3.3 6.0 2.5 Iris-virginica
+5.8 2.7 5.1 1.9 Iris-virginica
+7.1 3.0 5.9 2.1 Iris-virginica
+6.3 2.9 5.6 1.8 Iris-virginica
+6.5 3.0 5.8 2.2 Iris-virginica
+7.6 3.0 6.6 2.1 Iris-virginica
+4.9 2.5 4.5 1.7 Iris-virginica
+7.3 2.9 6.3 1.8 Iris-virginica
+6.7 2.5 5.8 1.8 Iris-virginica
+7.2 3.6 6.1 2.5 Iris-virginica
+6.5 3.2 5.1 2.0 Iris-virginica
+6.4 2.7 5.3 1.9 Iris-virginica
+6.8 3.0 5.5 2.1 Iris-virginica
+5.7 2.5 5.0 2.0 Iris-virginica
+5.8 2.8 5.1 2.4 Iris-virginica
+6.4 3.2 5.3 2.3 Iris-virginica
+6.5 3.0 5.5 1.8 Iris-virginica
+7.7 3.8 6.7 2.2 Iris-virginica
+7.7 2.6 6.9 2.3 Iris-virginica
+6.0 2.2 5.0 1.5 Iris-virginica
+6.9 3.2 5.7 2.3 Iris-virginica
+5.6 2.8 4.9 2.0 Iris-virginica
+7.7 2.8 6.7 2.0 Iris-virginica
+6.3 2.7 4.9 1.8 Iris-virginica
+6.7 3.3 5.7 2.1 Iris-virginica
+7.2 3.2 6.0 1.8 Iris-virginica
+6.2 2.8 4.8 1.8 Iris-virginica
+6.1 3.0 4.9 1.8 Iris-virginica
+6.4 2.8 5.6 2.1 Iris-virginica
+7.2 3.0 5.8 1.6 Iris-virginica
+7.4 2.8 6.1 1.9 Iris-virginica
+7.9 3.8 6.4 2.0 Iris-virginica
+6.4 2.8 5.6 2.2 Iris-virginica
+6.3 2.8 5.1 1.5 Iris-virginica
+6.1 2.6 5.6 1.4 Iris-virginica
+7.7 3.0 6.1 2.3 Iris-virginica
+6.3 3.4 5.6 2.4 Iris-virginica
+6.4 3.1 5.5 1.8 Iris-virginica
+6.0 3.0 4.8 1.8 Iris-virginica
+6.9 3.1 5.4 2.1 Iris-virginica
+6.7 3.1 5.6 2.4 Iris-virginica
+6.9 3.1 5.1 2.3 Iris-virginica
+5.8 2.7 5.1 1.9 Iris-virginica
+6.8 3.2 5.9 2.3 Iris-virginica
+6.7 3.3 5.7 2.5 Iris-virginica
+6.7 3.0 5.2 2.3 Iris-virginica
+6.3 2.5 5.0 1.9 Iris-virginica
+6.5 3.0 5.2 2.0 Iris-virginica
+6.2 3.4 5.4 2.3 Iris-virginica
+5.9 3.0 5.1 1.8 Iris-virginica
+
diff -r 000000000000 -r 7a092113eb8c test-data/kcca_out1.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/kcca_out1.tabular Mon May 19 12:34:54 2014 -0400
@@ -0,0 +1,304 @@
+\#Component\ 1\ 2\ 3\ 4
+\#Correlation\ \-?0\.99\d*\ \-?0\.99\d*\ \-?0\.93\d*\ \-?0\.93\d*
+\#Estimated\ X\-?coefficients\ 1\ 2\ 3\ 4
+1\ \-?0\.0015\d*\ \-?0\.0015\d*\ \-?0\.034\d*\ \-?0\.034\d*
+2\ \-?0\.001\d*\ \-?0\.001\d*\ \-?0\.032\d*\ \-?0\.032\d*
+3\ \-?0\.0001\d*\ \-?0\.0001\d*\ \-?0\.018\d*\ \-?0\.018\d*
+4\ \-?0\.0010\d*\ \-?0\.0010\d*\ \-?0\.0048\d*\ \-?0\.0048\d*
+5\ \-?0\.000\d*\ \-?0\.000\d*\ \-?0\.052\d*\ \-?0\.052\d*
+6\ \-?0\.0023\d*\ \-?0\.0023\d*\ \-?0\.019\d*\ \-?0\.019\d*
+7\ \-?0\.0014\d*\ \-?0\.0014\d*\ \-?0\.0057\d*\ \-?0\.0057\d*
+8\ \-?0\.0015\d*\ \-?0\.0015\d*\ \-?0\.038\d*\ \-?0\.038\d*
+9\ \-?0\.0036\d*\ \-?0\.0036\d*\ \-?0\.07\d*\ \-?0\.07\d*
+\d*\ \-?0\.0013\d*\ \-?0\.0013\d*\ \-?0\.031\d*\ \-?0\.031\d*
+\d*\ \-?0\.0008\d*\ \-?0\.0008\d*\ \-?0\.0013\d*\ \-?0\.0013\d*
+\d*\ \-?0\.00\d*\ \-?0\.00\d*\ \-?0\.039\d*\ \-?0\.039\d*
+\d*\ \-?0\.00037\d*\ \-?0\.00037\d*\ \-?0\.029\d*\ \-?0\.029\d*
+\d*\ \-?0\.0042\d*\ \-?0\.0042\d*\ \-?0\.13\d*\ \-?0\.13\d*
+\d*\ \-?0\.0044\d*\ \-?0\.0044\d*\ \-?0\.021\d*\ \-?0\.021\d*
+\d*\ \-?0\.015\d*\ \-?0\.015\d*\ \-?0\.041\d*\ \-?0\.041\d*
+\d*\ \-?0\.0023\d*\ \-?0\.0023\d*\ \-?0\.019\d*\ \-?0\.019\d*
+\d*\ \-?0\.0015\d*\ \-?0\.0015\d*\ \-?0\.034\d*\ \-?0\.034\d*
+\d*\ \-?0\.00047\d*\ \-?0\.00047\d*\ \-?0\.033\d*\ \-?0\.033\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*\ \-?0\.059\d*\ \-?0\.059\d*
+\d*\ \-?0\.0033\d*\ \-?0\.0033\d*\ \-?0\.021\d*\ \-?0\.021\d*
+\d*\ \-?0\.0003\d*\ \-?0\.0003\d*\ \-?0\.050\d*\ \-?0\.050\d*
+\d*\ \-?0\.0028\d*\ \-?0\.0028\d*\ \-?0\.019\d*\ \-?0\.019\d*
+\d*\ \-?0\.0025\d*\ \-?0\.0025\d*\ \-?0\.02\d*\ \-?0\.02\d*
+\d*\ \-?0\.00\d*\ \-?0\.00\d*\ \-?0\.039\d*\ \-?0\.039\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*\ \-?0\.028\d*\ \-?0\.028\d*
+\d*\ \-?0\.0015\d*\ \-?0\.0015\d*\ \-?0\.038\d*\ \-?0\.038\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.020\d*\ \-?0\.020\d*
+\d*\ \-?0\.0026\d*\ \-?0\.0026\d*\ \-?0\.013\d*\ \-?0\.013\d*
+\d*\ \-?0\.00010\d*\ \-?0\.00010\d*\ \-?0\.018\d*\ \-?0\.018\d*
+\d*\ \-?0\.00062\d*\ \-?0\.00062\d*\ \-?0\.028\d*\ \-?0\.028\d*
+\d*\ \-?0\.0033\d*\ \-?0\.0033\d*\ \-?0\.021\d*\ \-?0\.021\d*
+\d*\ \-?0\.007\d*\ \-?0\.007\d*\ \-?0\.075\d*\ \-?0\.075\d*
+\d*\ \-?0\.0092\d*\ \-?0\.0092\d*\ \-?0\.036\d*\ \-?0\.036\d*
+\d*\ \-?0\.0013\d*\ \-?0\.0013\d*\ \-?0\.031\d*\ \-?0\.031\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.029\d*\ \-?0\.029\d*
+\d*\ \-?0\.0029\d*\ \-?0\.0029\d*\ \-?0\.031\d*\ \-?0\.031\d*
+\d*\ \-?0\.0013\d*\ \-?0\.0013\d*\ \-?0\.031\d*\ \-?0\.031\d*
+\d*\ \-?0\.0031\d*\ \-?0\.0031\d*\ \-?0\.078\d*\ \-?0\.078\d*
+\d*\ \-?0\.0021\d*\ \-?0\.0021\d*\ \-?0\.028\d*\ \-?0\.028\d*
+\d*\ \-?0\.0010\d*\ \-?0\.0010\d*\ \-?0\.044\d*\ \-?0\.044\d*
+\d*\ \-?0\.0088\d*\ \-?0\.0088\d*\ \-?0\.041\d*\ \-?0\.041\d*
+\d*\ \-?0\.0028\d*\ \-?0\.0028\d*\ \-?0\.077\d*\ \-?0\.077\d*
+\d*\ \-?0\.0010\d*\ \-?0\.0010\d*\ \-?0\.044\d*\ \-?0\.044\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*\ \-?0\.059\d*\ \-?0\.059\d*
+\d*\ \-?0\.00037\d*\ \-?0\.00037\d*\ \-?0\.029\d*\ \-?0\.029\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*\ \-?0\.059\d*\ \-?0\.059\d*
+\d*\ \-?0\.00096\d*\ \-?0\.00096\d*\ \-?0\.0032\d*\ \-?0\.0032\d*
+\d*\ \-?0\.00052\d*\ \-?0\.00052\d*\ \-?0\.019\d*\ \-?0\.019\d*
+\d*\ \-?0\.001\d*\ \-?0\.001\d*\ \-?0\.032\d*\ \-?0\.032\d*
+\d*\ \-?6\.5\d*e-\d*\ \-?6\.5\d*e-\d*\ \-?0\.096\d*\ \-?0\.096\d*
+\d*\ \-?0\.0011\d*\ \-?0\.0011\d*\ \-?0\.020\d*\ \-?0\.020\d*
+\d*\ \-?0\.00017\d*\ \-?0\.00017\d*\ \-?0\.08\d*\ \-?0\.08\d*
+\d*\ \-?0\.0029\d*\ \-?0\.0029\d*\ \-?0\.029\d*\ \-?0\.029\d*
+\d*\ \-?0\.00060\d*\ \-?0\.00060\d*\ \-?0\.011\d*\ \-?0\.011\d*
+\d*\ \-?0\.0026\d*\ \-?0\.0026\d*\ \-?0\.065\d*\ \-?0\.065\d*
+\d*\ \-?0\.0015\d*\ \-?0\.0015\d*\ \-?0\.037\d*\ \-?0\.037\d*
+\d*\ \-?0\.0040\d*\ \-?0\.0040\d*\ \-?0\.092\d*\ \-?0\.092\d*
+\d*\ \-?0\.00036\d*\ \-?0\.00036\d*\ \-?0\.02\d*\ \-?0\.02\d*
+\d*\ \-?0\.0010\d*\ \-?0\.0010\d*\ \-?0\.022\d*\ \-?0\.022\d*
+\d*\ \-?0\.010\d*\ \-?0\.010\d*\ \-?0\.15\d*\ \-?0\.15\d*
+\d*\ \-?0\.0031\d*\ \-?0\.0031\d*\ \-?0\.084\d*\ \-?0\.084\d*
+\d*\ \-?0\.0055\d*\ \-?0\.0055\d*\ \-?0\.012\d*\ \-?0\.012\d*
+\d*\ \-?0\.0018\d*\ \-?0\.0018\d*\ \-?0\.069\d*\ \-?0\.069\d*
+\d*\ \-?0\.0032\d*\ \-?0\.0032\d*\ \-?0\.059\d*\ \-?0\.059\d*
+\d*\ \-?4\.1\d*e-\d*\ \-?4\.1\d*e-\d*\ \-?0\.048\d*\ \-?0\.048\d*
+\d*\ \-?0\.0037\d*\ \-?0\.0037\d*\ \-?0\.06\d*\ \-?0\.06\d*
+\d*\ \-?0\.0016\d*\ \-?0\.0016\d*\ \-?0\.063\d*\ \-?0\.063\d*
+\d*\ \-?0\.0065\d*\ \-?0\.0065\d*\ \-?0\.034\d*\ \-?0\.034\d*
+\d*\ \-?0\.0001\d*\ \-?0\.0001\d*\ \-?0\.01\d*\ \-?0\.01\d*
+\d*\ \-?0\.0034\d*\ \-?0\.0034\d*\ \-?0\.083\d*\ \-?0\.083\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*\ \-?0\.063\d*\ \-?0\.063\d*
+\d*\ \-?0\.002\d*\ \-?0\.002\d*\ \-?0\.0022\d*\ \-?0\.0022\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*\ \-?0\.063\d*\ \-?0\.063\d*
+\d*\ \-?0\.00042\d*\ \-?0\.00042\d*\ \-?0\.017\d*\ \-?0\.017\d*
+\d*\ \-?6\.0\d*e-\d*\ \-?6\.0\d*e-\d*\ \-?0\.026\d*\ \-?0\.026\d*
+\d*\ \-?0\.0014\d*\ \-?0\.0014\d*\ \-?0\.079\d*\ \-?0\.079\d*
+\d*\ \-?0\.00020\d*\ \-?0\.00020\d*\ \-?0\.049\d*\ \-?0\.049\d*
+\d*\ \-?0\.002\d*\ \-?0\.002\d*\ \-?0\.078\d*\ \-?0\.078\d*
+\d*\ \-?0\.00090\d*\ \-?0\.00090\d*\ \-?0\.044\d*\ \-?0\.044\d*
+\d*\ \-?0\.0014\d*\ \-?0\.0014\d*\ \-?0\.012\d*\ \-?0\.012\d*
+\d*\ \-?0\.0014\d*\ \-?0\.0014\d*\ \-?0\.012\d*\ \-?0\.012\d*
+\d*\ \-?0\.0016\d*\ \-?0\.0016\d*\ \-?0\.063\d*\ \-?0\.063\d*
+\d*\ \-?0\.00096\d*\ \-?0\.00096\d*\ \-?0\.063\d*\ \-?0\.063\d*
+\d*\ \-?0\.003\d*\ \-?0\.003\d*\ \-?0\.030\d*\ \-?0\.030\d*
+\d*\ \-?0\.0025\d*\ \-?0\.0025\d*\ \-?0\.071\d*\ \-?0\.071\d*
+\d*\ \-?4\.1\d*e\-?\d*\ \-?4\.1\d*e\-?\d*\ \-?0\.048\d*\ \-?0\.048\d*
+\d*\ \-?0\.0053\d*\ \-?0\.0053\d*\ \-?0\.035\d*\ \-?0\.035\d*
+\d*\ \-?0\.0037\d*\ \-?0\.0037\d*\ \-?0\.06\d*\ \-?0\.06\d*
+\d*\ \-?0\.00017\d*\ \-?0\.00017\d*\ \-?0\.0037\d*\ \-?0\.0037\d*
+\d*\ \-?0\.00093\d*\ \-?0\.00093\d*\ \-?0\.017\d*\ \-?0\.017\d*
+\d*\ \-?0\.0023\d*\ \-?0\.0023\d*\ \-?0\.073\d*\ \-?0\.073\d*
+\d*\ \-?0\.00070\d*\ \-?0\.00070\d*\ \-?0\.052\d*\ \-?0\.052\d*
+\d*\ \-?0\.0048\d*\ \-?0\.0048\d*\ \-?0\.10\d*\ \-?0\.10\d*
+\d*\ \-?0\.0019\d*\ \-?0\.0019\d*\ \-?0\.044\d*\ \-?0\.044\d*
+\d*\ \-?0\.0036\d*\ \-?0\.0036\d*\ \-?0\.074\d*\ \-?0\.074\d*
+\d*\ \-?0\.0032\d*\ \-?0\.0032\d*\ \-?0\.071\d*\ \-?0\.071\d*
+\d*\ \-?0\.0014\d*\ \-?0\.0014\d*\ \-?0\.056\d*\ \-?0\.056\d*
+\d*\ \-?0\.0015\d*\ \-?0\.0015\d*\ \-?0\.062\d*\ \-?0\.062\d*
+1\d*\ \-?0\.0026\d*\ \-?0\.0026\d*\ \-?0\.065\d*\ \-?0\.065\d*
+1\d*\ \-?0\.0015\d*\ \-?0\.0015\d*\ \-?0\.037\d*\ \-?0\.037\d*
+1\d*\ \-?0\.0016\d*\ \-?0\.0016\d*\ \-?0\.063\d*\ \-?0\.063\d*
+1\d*\ \-?0\.00025\d*\ \-?0\.00025\d*\ \-?0\.097\d*\ \-?0\.097\d*
+1\d*\ \-?0\.00090\d*\ \-?0\.00090\d*\ \-?0\.038\d*\ \-?0\.038\d*
+1\d*\ \-?0\.00042\d*\ \-?0\.00042\d*\ \-?0\.0021\d*\ \-?0\.0021\d*
+1\d*\ \-?0\.00025\d*\ \-?0\.00025\d*\ \-?0\.048\d*\ \-?0\.048\d*
+1\d*\ \-?0\.0027\d*\ \-?0\.0027\d*\ \-?0\.076\d*\ \-?0\.076\d*
+1\d*\ \-?0\.00034\d*\ \-?0\.00034\d*\ \-?0\.076\d*\ \-?0\.076\d*
+1\d*\ \-?0\.0040\d*\ \-?0\.0040\d*\ \-?0\.093\d*\ \-?0\.093\d*
+1\d*\ \-?0\.001\d*\ \-?0\.001\d*\ \-?0\.11\d*\ \-?0\.11\d*
+1\d*\ \-?0\.00073\d*\ \-?0\.00073\d*\ \-?0\.0031\d*\ \-?0\.0031\d*
+1\d*\ \-?0\.00094\d*\ \-?0\.00094\d*\ \-?0\.0025\d*\ \-?0\.0025\d*
+1\d*\ \-?0\.00037\d*\ \-?0\.00037\d*\ \-?0\.069\d*\ \-?0\.069\d*
+1\d*\ \-?0\.00021\d*\ \-?0\.00021\d*\ \-?0\.030\d*\ \-?0\.030\d*
+1\d*\ \-?0\.0024\d*\ \-?0\.0024\d*\ \-?0\.072\d*\ \-?0\.072\d*
+1\d*\ \-?0\.0011\d*\ \-?0\.0011\d*\ \-?0\.020\d*\ \-?0\.020\d*
+1\d*\ \-?0\.00042\d*\ \-?0\.00042\d*\ \-?0\.0021\d*\ \-?0\.0021\d*
+1\d*\ \-?0\.0051\d*\ \-?0\.0051\d*\ \-?0\.071\d*\ \-?0\.071\d*
+1\d*\ \-?0\.0037\d*\ \-?0\.0037\d*\ \-?0\.0\d*\ \-?0\.0\d*
+1\d*\ \-?0\.0055\d*\ \-?0\.0055\d*\ \-?0\.012\d*\ \-?0\.012\d*
+1\d*\ \-?0\.00011\d*\ \-?0\.00011\d*\ \-?0\.086\d*\ \-?0\.086\d*
+1\d*\ \-?0\.0026\d*\ \-?0\.0026\d*\ \-?0\.053\d*\ \-?0\.053\d*
+1\d*\ \-?0\.002\d*\ \-?0\.002\d*\ \-?0\.10\d*\ \-?0\.10\d*
+1\d*\ \-?0\.0004\d*\ \-?0\.0004\d*\ \-?0\.023\d*\ \-?0\.023\d*
+1\d*\ \-?3\.2\d*e-\d*\ \-?3\.2\d*e-\d*\ \-?0\.053\d*\ \-?0\.053\d*
+1\d*\ \-?0\.0002\d*\ \-?0\.0002\d*\ \-?0\.09\d*\ \-?0\.09\d*
+1\d*\ \-?0\.00080\d*\ \-?0\.00080\d*\ \-?0\.050\d*\ \-?0\.050\d*
+1\d*\ \-?0\.0023\d*\ \-?0\.0023\d*\ \-?0\.073\d*\ \-?0\.073\d*
+1\d*\ \-?0\.00017\d*\ \-?0\.00017\d*\ \-?0\.011\d*\ \-?0\.011\d*
+1\d*\ \-?7\.7\d*e-\d*\ \-?7\.7\d*e-\d*\ \-?0\.090\d*\ \-?0\.090\d*
+1\d*\ \-?0\.00085\d*\ \-?0\.00085\d*\ \-?0\.054\d*\ \-?0\.054\d*
+1\d*\ \-?0\.0083\d*\ \-?0\.0083\d*\ \-?0\.23\d*\ \-?0\.23\d*
+1\d*\ \-?0\.00017\d*\ \-?0\.00017\d*\ \-?0\.011\d*\ \-?0\.011\d*
+1\d*\ \-?0\.00030\d*\ \-?0\.00030\d*\ \-?0\.032\d*\ \-?0\.032\d*
+1\d*\ \-?0\.00042\d*\ \-?0\.00042\d*\ \-?0\.043\d*\ \-?0\.043\d*
+1\d*\ \-?0\.00099\d*\ \-?0\.00099\d*\ \-?0\.11\d*\ \-?0\.11\d*
+1\d*\ \-?0\.0011\d*\ \-?0\.0011\d*\ \-?0\.032\d*\ \-?0\.032\d*
+1\d*\ \-?0\.0011\d*\ \-?0\.0011\d*\ \-?0\.021\d*\ \-?0\.021\d*
+1\d*\ \-?0\.0027\d*\ \-?0\.0027\d*\ \-?0\.081\d*\ \-?0\.081\d*
+1\d*\ \-?0\.00017\d*\ \-?0\.00017\d*\ \-?0\.08\d*\ \-?0\.08\d*
+1\d*\ \-?4\.\d*e-\d*\ \-?4\.\d*e-\d*\ \-?0\.048\d*\ \-?0\.048\d*
+1\d*\ \-?0\.00017\d*\ \-?0\.00017\d*\ \-?0\.08\d*\ \-?0\.08\d*
+1\d*\ \-?0\.0016\d*\ \-?0\.0016\d*\ \-?0\.063\d*\ \-?0\.063\d*
+1\d*\ \-?5\.9\d*e-\d*\ \-?5\.9\d*e-\d*\ \-?0\.070\d*\ \-?0\.070\d*
+1\d*\ \-?3\.2\d*e-\d*\ \-?3\.2\d*e-\d*\ \-?0\.053\d*\ \-?0\.053\d*
+1\d*\ \-?0\.00020\d*\ \-?0\.00020\d*\ \-?0\.049\d*\ \-?0\.049\d*
+1\d*\ \-?0\.002\d*\ \-?0\.002\d*\ \-?0\.0022\d*\ \-?0\.0022\d*
+1\d*\ \-?0\.00042\d*\ \-?0\.00042\d*\ \-?0\.0021\d*\ \-?0\.0021\d*
+1\d*\ \-?0\.0016\d*\ \-?0\.0016\d*\ \-?0\.050\d*\ \-?0\.050\d*
+1\d*\ \-?0\.0031\d*\ \-?0\.0031\d*\ \-?0\.084\d*\ \-?0\.084\d*
+\#Estimated\ Y\-?coefficients\ 1\ 2\ 3\ 4
+1\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.014\d*\ \-?0\.014\d*
+2\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.014\d*\ \-?0\.014\d*
+3\ \-?0\.0018\d*\ \-?0\.0018\d*\ \-?0\.004\d*\ \-?0\.004\d*
+4\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.0094\d*\ \-?0\.0094\d*
+5\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.014\d*\ \-?0\.014\d*
+6\ \-?0\.0046\d*\ \-?0\.0046\d*\ \-?0\.0047\d*\ \-?0\.0047\d*
+7\ \-?0\.0012\d*\ \-?0\.0012\d*\ \-?0\.030\d*\ \-?0\.030\d*
+8\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.0094\d*\ \-?0\.0094\d*
+9\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.014\d*\ \-?0\.014\d*
+\d*\ \-?0\.0059\d*\ \-?0\.0059\d*\ \-?0\.013\d*\ \-?0\.013\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.0094\d*\ \-?0\.0094\d*
+\d*\ \-?0\.0018\d*\ \-?0\.0018\d*\ \-?0\.0066\d*\ \-?0\.0066\d*
+\d*\ \-?0\.005\d*\ \-?0\.005\d*\ \-?0\.0080\d*\ \-?0\.0080\d*
+\d*\ \-?0\.0041\d*\ \-?0\.0041\d*\ \-?0\.10\d*\ \-?0\.10\d*
+\d*\ \-?0\.0013\d*\ \-?0\.0013\d*\ \-?0\.027\d*\ \-?0\.027\d*
+\d*\ \-?0\.0041\d*\ \-?0\.0041\d*\ \-?0\.033\d*\ \-?0\.033\d*
+\d*\ \-?0\.0043\d*\ \-?0\.0043\d*\ \-?0\.028\d*\ \-?0\.028\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*\ \-?0\.030\d*\ \-?0\.030\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*\ \-?0\.013\d*\ \-?0\.013\d*
+\d*\ \-?0\.0013\d*\ \-?0\.0013\d*\ \-?0\.025\d*\ \-?0\.025\d*
+\d*\ \-?0\.001\d*\ \-?0\.001\d*\ \-?0\.029\d*\ \-?0\.029\d*
+\d*\ \-?0\.0041\d*\ \-?0\.0041\d*\ \-?0\.033\d*\ \-?0\.033\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*\ \-?0\.17\d*\ \-?0\.17\d*
+\d*\ \-?0\.0071\d*\ \-?0\.0071\d*\ \-?0\.0043\d*\ \-?0\.0043\d*
+\d*\ \-?0\.0010\d*\ \-?0\.0010\d*\ \-?0\.07\d*\ \-?0\.07\d*
+\d*\ \-?0\.0018\d*\ \-?0\.0018\d*\ \-?0\.0066\d*\ \-?0\.0066\d*
+\d*\ \-?0\.0043\d*\ \-?0\.0043\d*\ \-?0\.017\d*\ \-?0\.017\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.0094\d*\ \-?0\.0094\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.014\d*\ \-?0\.014\d*
+\d*\ \-?0\.0018\d*\ \-?0\.0018\d*\ \-?0\.0066\d*\ \-?0\.0066\d*
+\d*\ \-?0\.0018\d*\ \-?0\.0018\d*\ \-?0\.0066\d*\ \-?0\.0066\d*
+\d*\ \-?0\.0041\d*\ \-?0\.0041\d*\ \-?0\.033\d*\ \-?0\.033\d*
+\d*\ \-?0\.0059\d*\ \-?0\.0059\d*\ \-?0\.013\d*\ \-?0\.013\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.014\d*\ \-?0\.014\d*
+\d*\ \-?0\.0059\d*\ \-?0\.0059\d*\ \-?0\.013\d*\ \-?0\.013\d*
+\d*\ \-?0\.0013\d*\ \-?0\.0013\d*\ \-?0\.027\d*\ \-?0\.027\d*
+\d*\ \-?0\.0018\d*\ \-?0\.0018\d*\ \-?0\.004\d*\ \-?0\.004\d*
+\d*\ \-?0\.0059\d*\ \-?0\.0059\d*\ \-?0\.013\d*\ \-?0\.013\d*
+\d*\ \-?0\.0018\d*\ \-?0\.0018\d*\ \-?0\.004\d*\ \-?0\.004\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.0094\d*\ \-?0\.0094\d*
+\d*\ \-?0\.0014\d*\ \-?0\.0014\d*\ \-?0\.020\d*\ \-?0\.020\d*
+\d*\ \-?0\.0014\d*\ \-?0\.0014\d*\ \-?0\.020\d*\ \-?0\.020\d*
+\d*\ \-?0\.0018\d*\ \-?0\.0018\d*\ \-?0\.004\d*\ \-?0\.004\d*
+\d*\ \-?0\.0088\d*\ \-?0\.0088\d*\ \-?0\.010\d*\ \-?0\.010\d*
+\d*\ \-?0\.0051\d*\ \-?0\.0051\d*\ \-?0\.054\d*\ \-?0\.054\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*\ \-?0\.030\d*\ \-?0\.030\d*
+\d*\ \-?0\.0018\d*\ \-?0\.0018\d*\ \-?0\.0066\d*\ \-?0\.0066\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.014\d*\ \-?0\.014\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.0094\d*\ \-?0\.0094\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*\ \-?0\.014\d*\ \-?0\.014\d*
+\d*\ \-?0\.00017\d*\ \-?0\.00017\d*\ \-?0\.018\d*\ \-?0\.018\d*
+\d*\ \-?0\.00033\d*\ \-?0\.00033\d*\ \-?0\.023\d*\ \-?0\.023\d*
+\d*\ \-?0\.00084\d*\ \-?0\.00084\d*\ \-?0\.013\d*\ \-?0\.013\d*
+\d*\ \-?0\.00050\d*\ \-?0\.00050\d*\ \-?0\.0067\d*\ \-?0\.0067\d*
+\d*\ \-?0\.00045\d*\ \-?0\.00045\d*\ \-?0\.014\d*\ \-?0\.014\d*
+\d*\ \-?0\.00061\d*\ \-?0\.00061\d*\ \-?0\.029\d*\ \-?0\.029\d*
+\d*\ \-?0\.000\d*\ \-?0\.000\d*\ \-?0\.025\d*\ \-?0\.025\d*
+\d*\ \-?0\.00\d*\ \-?0\.00\d*\ \-?0\.019\d*\ \-?0\.019\d*
+\d*\ \-?0\.00049\d*\ \-?0\.00049\d*\ \-?0\.038\d*\ \-?0\.038\d*
+\d*\ \-?0\.00034\d*\ \-?0\.00034\d*\ \-?0\.044\d*\ \-?0\.044\d*
+\d*\ \-?0\.00031\d*\ \-?0\.00031\d*\ \-?0\.023\d*\ \-?0\.023\d*
+\d*\ \-?0\.00016\d*\ \-?0\.00016\d*\ \-?0\.044\d*\ \-?0\.044\d*
+\d*\ \-?0\.0027\d*\ \-?0\.0027\d*\ \-?0\.089\d*\ \-?0\.089\d*
+\d*\ \-?0\.00017\d*\ \-?0\.00017\d*\ \-?0\.018\d*\ \-?0\.018\d*
+\d*\ \-?0\.0016\d*\ \-?0\.0016\d*\ \-?0\.054\d*\ \-?0\.054\d*
+\d*\ \-?0\.0001\d*\ \-?0\.0001\d*\ \-?0\.0062\d*\ \-?0\.0062\d*
+\d*\ \-?0\.00033\d*\ \-?0\.00033\d*\ \-?0\.023\d*\ \-?0\.023\d*
+\d*\ \-?0\.0029\d*\ \-?0\.0029\d*\ \-?0\.097\d*\ \-?0\.097\d*
+\d*\ \-?0\.00033\d*\ \-?0\.00033\d*\ \-?0\.023\d*\ \-?0\.023\d*
+\d*\ \-?0\.0015\d*\ \-?0\.0015\d*\ \-?0\.048\d*\ \-?0\.048\d*
+\d*\ \-?0\.0010\d*\ \-?0\.0010\d*\ \-?0\.038\d*\ \-?0\.038\d*
+\d*\ \-?0\.00050\d*\ \-?0\.00050\d*\ \-?0\.0067\d*\ \-?0\.0067\d*
+\d*\ \-?0\.00084\d*\ \-?0\.00084\d*\ \-?0\.013\d*\ \-?0\.013\d*
+\d*\ \-?0\.00099\d*\ \-?0\.00099\d*\ \-?0\.078\d*\ \-?0\.078\d*
+\d*\ \-?0\.00078\d*\ \-?0\.00078\d*\ \-?0\.015\d*\ \-?0\.015\d*
+\d*\ \-?0\.0001\d*\ \-?0\.0001\d*\ \-?0\.0062\d*\ \-?0\.0062\d*
+\d*\ \-?0\.00030\d*\ \-?0\.00030\d*\ \-?0\.027\d*\ \-?0\.027\d*
+\d*\ \-?0\.0013\d*\ \-?0\.0013\d*\ \-?0\.010\d*\ \-?0\.010\d*
+\d*\ \-?0\.00033\d*\ \-?0\.00033\d*\ \-?0\.023\d*\ \-?0\.023\d*
+\d*\ \-?0\.00031\d*\ \-?0\.00031\d*\ \-?0\.023\d*\ \-?0\.023\d*
+\d*\ \-?0\.0011\d*\ \-?0\.0011\d*\ \-?0\.037\d*\ \-?0\.037\d*
+\d*\ \-?0\.0013\d*\ \-?0\.0013\d*\ \-?0\.056\d*\ \-?0\.056\d*
+\d*\ \-?0\.00082\d*\ \-?0\.00082\d*\ \-?0\.015\d*\ \-?0\.015\d*
+\d*\ \-?0\.0013\d*\ \-?0\.0013\d*\ \-?0\.012\d*\ \-?0\.012\d*
+\d*\ \-?0\.00033\d*\ \-?0\.00033\d*\ \-?0\.023\d*\ \-?0\.023\d*
+\d*\ \-?0\.00062\d*\ \-?0\.00062\d*\ \-?0\.042\d*\ \-?0\.042\d*
+\d*\ \-?0\.00059\d*\ \-?0\.00059\d*\ \-?0\.0061\d*\ \-?0\.0061\d*
+\d*\ \-?0\.00071\d*\ \-?0\.00071\d*\ \-?0\.022\d*\ \-?0\.022\d*
+\d*\ \-?0\.00069\d*\ \-?0\.00069\d*\ \-?0\.0011\d*\ \-?0\.0011\d*
+\d*\ \-?0\.00050\d*\ \-?0\.00050\d*\ \-?0\.0067\d*\ \-?0\.0067\d*
+\d*\ \-?0\.0013\d*\ \-?0\.0013\d*\ \-?0\.053\d*\ \-?0\.053\d*
+\d*\ \-?4\.0\d*e-\d*\ \-?4\.0\d*e-\d*\ \-?0\.009\d*\ \-?0\.009\d*
+\d*\ \-?0\.0011\d*\ \-?0\.0011\d*\ \-?0\.024\d*\ \-?0\.024\d*
+\d*\ \-?0\.00\d*\ \-?0\.00\d*\ \-?0\.019\d*\ \-?0\.019\d*
+\d*\ \-?0\.00078\d*\ \-?0\.00078\d*\ \-?0\.0083\d*\ \-?0\.0083\d*
+\d*\ \-?0\.0014\d*\ \-?0\.0014\d*\ \-?0\.039\d*\ \-?0\.039\d*
+\d*\ \-?0\.00078\d*\ \-?0\.00078\d*\ \-?0\.0083\d*\ \-?0\.0083\d*
+\d*\ \-?0\.00078\d*\ \-?0\.00078\d*\ \-?0\.015\d*\ \-?0\.015\d*
+\d*\ \-?0\.0076\d*\ \-?0\.0076\d*\ \-?0\.12\d*\ \-?0\.12\d*
+1\d*\ \-?0\.00069\d*\ \-?0\.00069\d*\ \-?0\.0011\d*\ \-?0\.0011\d*
+1\d*\ \-?0\.0067\d*\ \-?0\.0067\d*\ \-?0\.046\d*\ \-?0\.046\d*
+1\d*\ \-?0\.001\d*\ \-?0\.001\d*\ \-?0\.013\d*\ \-?0\.013\d*
+1\d*\ \-?0\.0017\d*\ \-?0\.0017\d*\ \-?0\.011\d*\ \-?0\.011\d*
+1\d*\ \-?0\.0024\d*\ \-?0\.0024\d*\ \-?0\.008\d*\ \-?0\.008\d*
+1\d*\ \-?8\.[6-8]\d*e\-?\d*\ \-?8\.[6-8]\d*e\-?\d*\ \-?0\.00049\d*\ \-?0\.00049\d*
+1\d*\ \-?0\.0007\d*\ \-?0\.0007\d*\ \-?7\.8\d*e\-?\d*\ \-?7\.8\d*e\-?\d*
+1\d*\ \-?0\.00075\d*\ \-?0\.00075\d*\ \-?0\.056\d*\ \-?0\.056\d*
+1\d*\ \-?0\.004\d*\ \-?0\.004\d*\ \-?0\.04\d*\ \-?0\.04\d*
+1\d*\ \-?0\.0032\d*\ \-?0\.0032\d*\ \-?0\.0028\d*\ \-?0\.0028\d*
+1\d*\ \-?0\.0063\d*\ \-?0\.0063\d*\ \-?0\.056\d*\ \-?0\.056\d*
+1\d*\ \-?0\.00050\d*\ \-?0\.00050\d*\ \-?0\.012\d*\ \-?0\.012\d*
+1\d*\ \-?0\.0014\d*\ \-?0\.0014\d*\ \-?0\.00081\d*\ \-?0\.00081\d*
+1\d*\ \-?0\.00024\d*\ \-?0\.00024\d*\ \-?0\.0095\d*\ \-?0\.0095\d*
+1\d*\ \-?0\.00038\d*\ \-?0\.00038\d*\ \-?0\.02\d*\ \-?0\.02\d*
+1\d*\ \-?0\.0063\d*\ \-?0\.0063\d*\ \-?0\.016\d*\ \-?0\.016\d*
+1\d*\ \-?0\.0035\d*\ \-?0\.0035\d*\ \-?0\.0055\d*\ \-?0\.0055\d*
+1\d*\ \-?0\.0021\d*\ \-?0\.0021\d*\ \-?0\.0096\d*\ \-?0\.0096\d*
+1\d*\ \-?0\.0027\d*\ \-?0\.0027\d*\ \-?0\.044\d*\ \-?0\.044\d*
+1\d*\ \-?0\.011\d*\ \-?0\.011\d*\ \-?0\.19\d*\ \-?0\.19\d*
+1\d*\ \-?0\.00096\d*\ \-?0\.00096\d*\ \-?0\.022\d*\ \-?0\.022\d*
+1\d*\ \-?0\.002\d*\ \-?0\.002\d*\ \-?0\.0054\d*\ \-?0\.0054\d*
+1\d*\ \-?0\.0002\d*\ \-?0\.0002\d*\ \-?0\.031\d*\ \-?0\.031\d*
+1\d*\ \-?0\.00034\d*\ \-?0\.00034\d*\ \-?0\.039\d*\ \-?0\.039\d*
+1\d*\ \-?0\.0011\d*\ \-?0\.0011\d*\ \-?0\.028\d*\ \-?0\.028\d*
+1\d*\ \-?0\.00091\d*\ \-?0\.00091\d*\ \-?0\.003\d*\ \-?0\.003\d*
+1\d*\ \-?0\.0041\d*\ \-?0\.0041\d*\ \-?0\.021\d*\ \-?0\.021\d*
+1\d*\ \-?0\.0010\d*\ \-?0\.0010\d*\ \-?0\.038\d*\ \-?0\.038\d*
+1\d*\ \-?0\.0011\d*\ \-?0\.0011\d*\ \-?0\.028\d*\ \-?0\.028\d*
+1\d*\ \-?0\.00054\d*\ \-?0\.00054\d*\ \-?0\.0081\d*\ \-?0\.0081\d*
+1\d*\ \-?0\.0031\d*\ \-?0\.0031\d*\ \-?0\.01\d*\ \-?0\.01\d*
+1\d*\ \-?0\.0042\d*\ \-?0\.0042\d*\ \-?0\.034\d*\ \-?0\.034\d*
+1\d*\ \-?0\.0037\d*\ \-?0\.0037\d*\ \-?0\.041\d*\ \-?0\.041\d*
+1\d*\ \-?0\.00087\d*\ \-?0\.00087\d*\ \-?0\.010\d*\ \-?0\.010\d*
+1\d*\ \-?0\.0010\d*\ \-?0\.0010\d*\ \-?0\.031\d*\ \-?0\.031\d*
+1\d*\ \-?0\.001\d*\ \-?0\.001\d*\ \-?0\.074\d*\ \-?0\.074\d*
+1\d*\ \-?0\.00069\d*\ \-?0\.00069\d*\ \-?0\.029\d*\ \-?0\.029\d*
+1\d*\ \-?0\.0053\d*\ \-?0\.0053\d*\ \-?0\.0019\d*\ \-?0\.0019\d*
+1\d*\ \-?0\.0021\d*\ \-?0\.0021\d*\ \-?0\.0096\d*\ \-?0\.0096\d*
+1\d*\ \-?0\.0010\d*\ \-?0\.0010\d*\ \-?0\.038\d*\ \-?0\.038\d*
+1\d*\ \-?3\.[4-6]\d*e-\d*\ \-?3\.[4-6]\d*e-\d*\ \-?0\.0081\d*\ \-?0\.0081\d*
+1\d*\ \-?0\.0053\d*\ \-?0\.0053\d*\ \-?0\.0019\d*\ \-?0\.0019\d*
+1\d*\ \-?0\.0038\d*\ \-?0\.0038\d*\ \-?0\.0085\d*\ \-?0\.0085\d*
+1\d*\ \-?0\.001\d*\ \-?0\.001\d*\ \-?0\.013\d*\ \-?0\.013\d*
+1\d*\ \-?0\.0015\d*\ \-?0\.0015\d*\ \-?0\.010\d*\ \-?0\.010\d*
+1\d*\ \-?0\.0081\d*\ \-?0\.0081\d*\ \-?0\.020\d*\ \-?0\.020\d*
+1\d*\ \-?0\.0037\d*\ \-?0\.0037\d*\ \-?0\.00065\d*\ \-?0\.00065\d*
+1\d*\ \-?0\.0010\d*\ \-?0\.0010\d*\ \-?0\.022\d*\ \-?0\.022\d*
+1\d*\ \-?0\.00063\d*\ \-?0\.00063\d*\ \-?0\.0048\d*\ \-?0\.0048\d*
+1\d*\ \-?0\.0033\d*\ \-?0\.0033\d*\ \-?0\.0096\d*\ \-?0\.0096\d*
+1\d*\ \-?0\.0014\d*\ \-?0\.0014\d*\ \-?0\.010\d*\ \-?0\.010\d*
diff -r 000000000000 -r 7a092113eb8c test-data/kcca_out2.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/kcca_out2.tabular Mon May 19 12:34:54 2014 -0400
@@ -0,0 +1,304 @@
+\#Component\ 1\ 2
+\#Correlation\ \-?0\.99\d*\ \-?0\.99\d*
+\#Estimated\ X\-?coefficients\ 1\ 2
+1\ \-?0\.0012\d*\ \-?0\.0012\d*
+2\ \-?0\.0012\d*\ \-?0\.0012\d*
+3\ \-?0\.0016\d*\ \-?0\.0016\d*
+4\ \-?0\.0017\d*\ \-?0\.0017\d*
+5\ \-?0\.0012\d*\ \-?0\.0012\d*
+6\ \-?0\.0029\d*\ \-?0\.0029\d*
+7\ \-?0\.0046\d*\ \-?0\.0046\d*
+8\ \-?0\.0017\d*\ \-?0\.0017\d*
+9\ \-?0\.0012\d*\ \-?0\.0012\d*
+\d*\ \-?0\.0068\d*\ \-?0\.0068\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*
+\d*\ \-?8\.\d*e\-?\d*\ \-?8\.\d*e\-?\d*
+\d*\ \-?0\.0063\d*\ \-?0\.0063\d*
+\d*\ \-?0\.008\d*\ \-?0\.008\d*
+\d*\ \-?0\.0065\d*\ \-?0\.0065\d*
+\d*\ \-?0\.006\d*\ \-?0\.006\d*
+\d*\ \-?0\.0087\d*\ \-?0\.0087\d*
+\d*\ \-?0\.0046\d*\ \-?0\.0046\d*
+\d*\ \-?0\.0021\d*\ \-?0\.0021\d*
+\d*\ \-?0\.0069\d*\ \-?0\.0069\d*
+\d*\ \-?0\.0029\d*\ \-?0\.0029\d*
+\d*\ \-?0\.006\d*\ \-?0\.006\d*
+\d*\ \-?0\.017\d*\ \-?0\.017\d*
+\d*\ \-?0\.0024\d*\ \-?0\.0024\d*
+\d*\ \-?0\.0079\d*\ \-?0\.0079\d*
+\d*\ \-?8\.\d*e\-?\d*\ \-?8\.\d*e\-?\d*
+\d*\ \-?0\.0063\d*\ \-?0\.0063\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*
+\d*\ \-?8\.\d*e\-?\d*\ \-?8\.\d*e\-?\d*
+\d*\ \-?8\.\d*e\-?\d*\ \-?8\.\d*e\-?\d*
+\d*\ \-?0\.006\d*\ \-?0\.006\d*
+\d*\ \-?0\.0068\d*\ \-?0\.0068\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*
+\d*\ \-?0\.0068\d*\ \-?0\.0068\d*
+\d*\ \-?0\.0065\d*\ \-?0\.0065\d*
+\d*\ \-?0\.0016\d*\ \-?0\.0016\d*
+\d*\ \-?0\.0068\d*\ \-?0\.0068\d*
+\d*\ \-?0\.0016\d*\ \-?0\.0016\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*
+\d*\ \-?0\.00\d*\ \-?0\.00\d*
+\d*\ \-?0\.00\d*\ \-?0\.00\d*
+\d*\ \-?0\.0016\d*\ \-?0\.0016\d*
+\d*\ \-?0\.015\d*\ \-?0\.015\d*
+\d*\ \-?0\.0084\d*\ \-?0\.0084\d*
+\d*\ \-?0\.0046\d*\ \-?0\.0046\d*
+\d*\ \-?8\.\d*e\-?\d*\ \-?8\.\d*e\-?\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*
+\d*\ \-?0\.0006\d*\ \-?0\.0006\d*
+\d*\ \-?0\.0021\d*\ \-?0\.0021\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*
+\d*\ \-?1\.1\d*e\-?\d*\ \-?1\.1\d*e\-?\d*
+\d*\ \-?0\.0027\d*\ \-?0\.0027\d*
+\d*\ \-?0\.0021\d*\ \-?0\.0021\d*
+\d*\ \-?0\.0030\d*\ \-?0\.0030\d*
+\d*\ \-?0\.0018\d*\ \-?0\.0018\d*
+\d*\ \-?0\.0047\d*\ \-?0\.0047\d*
+\d*\ \-?0\.0038\d*\ \-?0\.0038\d*
+\d*\ \-?0\.00\d*\ \-?0\.00\d*
+\d*\ \-?0\.0025\d*\ \-?0\.0025\d*
+\d*\ \-?0\.0064\d*\ \-?0\.0064\d*
+\d*\ \-?0\.0006\d*\ \-?0\.0006\d*
+\d*\ \-?0\.0067\d*\ \-?0\.0067\d*
+\d*\ \-?0\.0023\d*\ \-?0\.0023\d*
+\d*\ \-?0\.0021\d*\ \-?0\.0021\d*
+\d*\ \-?0\.011\d*\ \-?0\.011\d*
+\d*\ \-?0\.0021\d*\ \-?0\.0021\d*
+\d*\ \-?0\.0006\d*\ \-?0\.0006\d*
+\d*\ \-?0\.0011\d*\ \-?0\.0011\d*
+\d*\ \-?1\.1\d*e\-?\d*\ \-?1\.1\d*e\-?\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*
+\d*\ \-?0\.018\d*\ \-?0\.018\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*
+\d*\ \-?0\.0023\d*\ \-?0\.0023\d*
+\d*\ \-?0\.00\d*\ \-?0\.00\d*
+\d*\ \-?0\.005\d*\ \-?0\.005\d*
+\d*\ \-?0\.0021\d*\ \-?0\.0021\d*
+\d*\ \-?0\.00\d*\ \-?0\.00\d*
+\d*\ \-?0\.00032\d*\ \-?0\.00032\d*
+\d*\ \-?0\.002\d*\ \-?0\.002\d*
+\d*\ \-?0\.00058\d*\ \-?0\.00058\d*
+\d*\ \-?0\.0033\d*\ \-?0\.0033\d*
+\d*\ \-?0\.0021\d*\ \-?0\.0021\d*
+\d*\ \-?0\.0014\d*\ \-?0\.0014\d*
+\d*\ \-?0\.0027\d*\ \-?0\.0027\d*
+\d*\ \-?7\.3e\-?05\ \-?7\.3e\-?\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*
+\d*\ \-?1\.1\d*e\-?\d*\ \-?1\.1\d*e\-?\d*
+\d*\ \-?0\.0062\d*\ \-?0\.0062\d*
+\d*\ \-?0\.00075\d*\ \-?0\.00075\d*
+\d*\ \-?0\.00013\d*\ \-?0\.00013\d*
+\d*\ \-?0\.0018\d*\ \-?0\.0018\d*
+\d*\ \-?0\.0016\d*\ \-?0\.0016\d*
+\d*\ \-?0\.0010\d*\ \-?0\.0010\d*
+\d*\ \-?0\.0016\d*\ \-?0\.0016\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*
+\d*\ \-?0\.027\d*\ \-?0\.027\d*
+1\d*\ \-?0\.0012\d*\ \-?0\.0012\d*
+1\d*\ \-?0\.016\d*\ \-?0\.016\d*
+1\d*\ \-?0\.0058\d*\ \-?0\.0058\d*
+1\d*\ \-?0\.017\d*\ \-?0\.017\d*
+1\d*\ \-?0\.00081\d*\ \-?0\.00081\d*
+1\d*\ \-?0\.0063\d*\ \-?0\.0063\d*
+1\d*\ \-?0\.0027\d*\ \-?0\.0027\d*
+1\d*\ \-?0\.0095\d*\ \-?0\.0095\d*
+1\d*\ \-?0\.015\d*\ \-?0\.015\d*
+1\d*\ \-?0\.0030\d*\ \-?0\.0030\d*
+1\d*\ \-?0\.011\d*\ \-?0\.011\d*
+1\d*\ \-?0\.0039\d*\ \-?0\.0039\d*
+1\d*\ \-?0\.0044\d*\ \-?0\.0044\d*
+1\d*\ \-?0\.0017\d*\ \-?0\.0017\d*
+1\d*\ \-?0\.00087\d*\ \-?0\.00087\d*
+1\d*\ \-?0\.02\d*\ \-?0\.02\d*
+1\d*\ \-?0\.0013\d*\ \-?0\.0013\d*
+1\d*\ \-?0\.00093\d*\ \-?0\.00093\d*
+1\d*\ \-?0\.015\d*\ \-?0\.015\d*
+1\d*\ \-?0\.011\d*\ \-?0\.011\d*
+1\d*\ \-?0\.00080\d*\ \-?0\.00080\d*
+1\d*\ \-?0\.0028\d*\ \-?0\.0028\d*
+1\d*\ \-?0\.0096\d*\ \-?0\.0096\d*
+1\d*\ \-?0\.015\d*\ \-?0\.015\d*
+1\d*\ \-?0\.0032\d*\ \-?0\.0032\d*
+1\d*\ \-?0\.0044\d*\ \-?0\.0044\d*
+1\d*\ \-?0\.0036\d*\ \-?0\.0036\d*
+1\d*\ \-?0\.0011\d*\ \-?0\.0011\d*
+1\d*\ \-?0\.0032\d*\ \-?0\.0032\d*
+1\d*\ \-?0\.0018\d*\ \-?0\.0018\d*
+1\d*\ \-?0\.022\d*\ \-?0\.022\d*
+1\d*\ \-?0\.018\d*\ \-?0\.018\d*
+1\d*\ \-?0\.016\d*\ \-?0\.016\d*
+1\d*\ \-?9\.1\d*e\-?\d*\ \-?9\.1\d*e\-?\d*
+1\d*\ \-?0\.00039\d*\ \-?0\.00039\d*
+1\d*\ \-?0\.036\d*\ \-?0\.036\d*
+1\d*\ \-?0\.020\d*\ \-?0\.020\d*
+1\d*\ \-?0\.0071\d*\ \-?0\.0071\d*
+1\d*\ \-?0\.00093\d*\ \-?0\.00093\d*
+1\d*\ \-?0\.0011\d*\ \-?0\.0011\d*
+1\d*\ \-?0\.0031\d*\ \-?0\.0031\d*
+1\d*\ \-?0\.0071\d*\ \-?0\.0071\d*
+1\d*\ \-?0\.015\d*\ \-?0\.015\d*
+1\d*\ \-?0\.0058\d*\ \-?0\.0058\d*
+1\d*\ \-?0\.005\d*\ \-?0\.005\d*
+1\d*\ \-?0\.018\d*\ \-?0\.018\d*
+1\d*\ \-?0\.0035\d*\ \-?0\.0035\d*
+1\d*\ \-?0\.0036\d*\ \-?0\.0036\d*
+1\d*\ \-?0\.0055\d*\ \-?0\.0055\d*
+1\d*\ \-?0\.0014\d*\ \-?0\.0014\d*
+1\d*\ \-?0\.006\d*\ \-?0\.006\d*
+\#Estimated\ Y\-?coefficients\ 1\ 2
+1\ \-?0\.00095\d*\ \-?0\.00095\d*
+2\ \-?0\.0075\d*\ \-?0\.0075\d*
+3\ \-?0\.0051\d*\ \-?0\.0051\d*
+4\ \-?0\.0088\d*\ \-?0\.0088\d*
+5\ \-?0\.0014\d*\ \-?0\.0014\d*
+6\ \-?0\.0033\d*\ \-?0\.0033\d*
+7\ \-?0\.0081\d*\ \-?0\.0081\d*
+8\ \-?0\.0015\d*\ \-?0\.0015\d*
+9\ \-?0\.0077\d*\ \-?0\.0077\d*
+\d*\ \-?0\.0054\d*\ \-?0\.0054\d*
+\d*\ \-?0\.0032\d*\ \-?0\.0032\d*
+\d*\ \-?0\.0030\d*\ \-?0\.0030\d*
+\d*\ \-?0\.0044\d*\ \-?0\.0044\d*
+\d*\ \-?0\.0035\d*\ \-?0\.0035\d*
+\d*\ \-?0\.0085\d*\ \-?0\.0085\d*
+\d*\ \-?0\.03\d*\ \-?0\.03\d*
+\d*\ \-?0\.0033\d*\ \-?0\.0033\d*
+\d*\ \-?0\.00095\d*\ \-?0\.00095\d*
+\d*\ \-?0\.0081\d*\ \-?0\.0081\d*
+\d*\ \-?0\.0030\d*\ \-?0\.0030\d*
+\d*\ \-?0\.00097\d*\ \-?0\.00097\d*
+\d*\ \-?0\.0016\d*\ \-?0\.0016\d*
+\d*\ \-?0\.0060\d*\ \-?0\.0060\d*
+\d*\ \-?0\.0034\d*\ \-?0\.0034\d*
+\d*\ \-?0\.0030\d*\ \-?0\.0030\d*
+\d*\ \-?0\.0083\d*\ \-?0\.0083\d*
+\d*\ \-?0\.0015\d*\ \-?0\.0015\d*
+\d*\ \-?0\.0013\d*\ \-?0\.0013\d*
+\d*\ \-?0\.00\d*\ \-?0\.00\d*
+\d*\ \-?0\.0051\d*\ \-?0\.0051\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*
+\d*\ \-?0\.00097\d*\ \-?0\.00097\d*
+\d*\ \-?0\.011\d*\ \-?0\.011\d*
+\d*\ \-?0\.0087\d*\ \-?0\.0087\d*
+\d*\ \-?0\.0054\d*\ \-?0\.0054\d*
+\d*\ \-?0\.0049\d*\ \-?0\.0049\d*
+\d*\ \-?0\.00033\d*\ \-?0\.00033\d*
+\d*\ \-?0\.0054\d*\ \-?0\.0054\d*
+\d*\ \-?0\.010\d*\ \-?0\.010\d*
+\d*\ \-?0\.0022\d*\ \-?0\.0022\d*
+\d*\ \-?5\.\d*e\-?\d*\ \-?5\.\d*e\-?\d*
+\d*\ \-?0\.023\d*\ \-?0\.023\d*
+\d*\ \-?0\.013\d*\ \-?0\.013\d*
+\d*\ \-?5\.\d*e\-?\d*\ \-?5\.\d*e\-?\d*
+\d*\ \-?0\.0030\d*\ \-?0\.0030\d*
+\d*\ \-?0\.0044\d*\ \-?0\.0044\d*
+\d*\ \-?0\.0030\d*\ \-?0\.0030\d*
+\d*\ \-?0\.010\d*\ \-?0\.010\d*
+\d*\ \-?0\.0016\d*\ \-?0\.0016\d*
+\d*\ \-?0\.0032\d*\ \-?0\.0032\d*
+\d*\ \-?0\.0020\d*\ \-?0\.0020\d*
+\d*\ \-?0\.00069\d*\ \-?0\.00069\d*
+\d*\ \-?0\.001\d*\ \-?0\.001\d*
+\d*\ \-?0\.0034\d*\ \-?0\.0034\d*
+\d*\ \-?0\.00099\d*\ \-?0\.00099\d*
+\d*\ \-?0\.0019\d*\ \-?0\.0019\d*
+\d*\ \-?0\.0010\d*\ \-?0\.0010\d*
+\d*\ \-?0\.006\d*\ \-?0\.006\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*
+\d*\ \-?0\.007\d*\ \-?0\.007\d*
+\d*\ \-?0\.031\d*\ \-?0\.031\d*
+\d*\ \-?0\.0\d*\ \-?0\.0\d*
+\d*\ \-?0\.011\d*\ \-?0\.011\d*
+\d*\ \-?0\.0017\d*\ \-?0\.0017\d*
+\d*\ \-?0\.0044\d*\ \-?0\.0044\d*
+\d*\ \-?0\.0019\d*\ \-?0\.0019\d*
+\d*\ \-?0\.0060\d*\ \-?0\.0060\d*
+\d*\ \-?0\.0015\d*\ \-?0\.0015\d*
+\d*\ \-?0\.015\d*\ \-?0\.015\d*
+\d*\ \-?0\.0011\d*\ \-?0\.0011\d*
+\d*\ \-?0\.0063\d*\ \-?0\.0063\d*
+\d*\ \-?0\.0041\d*\ \-?0\.0041\d*
+\d*\ \-?0\.0028\d*\ \-?0\.0028\d*
+\d*\ \-?0\.0041\d*\ \-?0\.0041\d*
+\d*\ \-?0\.0022\d*\ \-?0\.0022\d*
+\d*\ \-?0\.0011\d*\ \-?0\.0011\d*
+\d*\ \-?0\.008\d*\ \-?0\.008\d*
+\d*\ \-?0\.0023\d*\ \-?0\.0023\d*
+\d*\ \-?0\.00020\d*\ \-?0\.00020\d*
+\d*\ \-?0\.001\d*\ \-?0\.001\d*
+\d*\ \-?1\.3\d*e\-?\d*\ \-?1\.3\d*e\-?\d*
+\d*\ \-?1\.3\d*e\-?\d*\ \-?1\.3\d*e\-?\d*
+\d*\ \-?0\.0015\d*\ \-?0\.0015\d*
+\d*\ \-?0\.0048\d*\ \-?0\.0048\d*
+\d*\ \-?0\.0022\d*\ \-?0\.0022\d*
+\d*\ \-?0\.003\d*\ \-?0\.003\d*
+\d*\ \-?0\.0019\d*\ \-?0\.0019\d*
+\d*\ \-?0\.0091\d*\ \-?0\.0091\d*
+\d*\ \-?0\.0060\d*\ \-?0\.0060\d*
+\d*\ \-?0\.0014\d*\ \-?0\.0014\d*
+\d*\ \-?0\.0012\d*\ \-?0\.0012\d*
+\d*\ \-?0\.00057\d*\ \-?0\.00057\d*
+\d*\ \-?0\.002\d*\ \-?0\.002\d*
+\d*\ \-?0\.0022\d*\ \-?0\.0022\d*
+\d*\ \-?0\.00040\d*\ \-?0\.00040\d*
+\d*\ \-?0\.0062\d*\ \-?0\.0062\d*
+\d*\ \-?0\.0043\d*\ \-?0\.0043\d*
+\d*\ \-?0\.002\d*\ \-?0\.002\d*
+\d*\ \-?0\.0095\d*\ \-?0\.0095\d*
+1\d*\ \-?0\.0019\d*\ \-?0\.0019\d*
+1\d*\ \-?0\.0010\d*\ \-?0\.0010\d*
+1\d*\ \-?0\.0015\d*\ \-?0\.0015\d*
+1\d*\ \-?0\.0017\d*\ \-?0\.0017\d*
+1\d*\ \-?0\.0029\d*\ \-?0\.0029\d*
+1\d*\ \-?9\.6\d*e\-?\d*\ \-?9\.6\d*e\-?\d*
+1\d*\ \-?0\.0010\d*\ \-?0\.0010\d*
+1\d*\ \-?0\.010\d*\ \-?0\.010\d*
+1\d*\ \-?0\.003\d*\ \-?0\.003\d*
+1\d*\ \-?0\.019\d*\ \-?0\.019\d*
+1\d*\ \-?0\.0024\d*\ \-?0\.0024\d*
+1\d*\ \-?0\.00090\d*\ \-?0\.00090\d*
+1\d*\ \-?0\.0035\d*\ \-?0\.0035\d*
+1\d*\ \-?0\.0031\d*\ \-?0\.0031\d*
+1\d*\ \-?0\.0016\d*\ \-?0\.0016\d*
+1\d*\ \-?0\.00073\d*\ \-?0\.00073\d*
+1\d*\ \-?0\.00069\d*\ \-?0\.00069\d*
+1\d*\ \-?9\.6\d*e\-?\d*\ \-?9\.6\d*e\-?\d*
+1\d*\ \-?0\.017\d*\ \-?0\.017\d*
+1\d*\ \-?0\.0062\d*\ \-?0\.0062\d*
+1\d*\ \-?0\.011\d*\ \-?0\.011\d*
+1\d*\ \-?0\.00045\d*\ \-?0\.00045\d*
+1\d*\ \-?0\.0023\d*\ \-?0\.0023\d*
+1\d*\ \-?0\.0029\d*\ \-?0\.0029\d*
+1\d*\ \-?0\.0054\d*\ \-?0\.0054\d*
+1\d*\ \-?0\.0020\d*\ \-?0\.0020\d*
+1\d*\ \-?0\.0097\d*\ \-?0\.0097\d*
+1\d*\ \-?0\.0048\d*\ \-?0\.0048\d*
+1\d*\ \-?0\.00057\d*\ \-?0\.00057\d*
+1\d*\ \-?0\.0032\d*\ \-?0\.0032\d*
+1\d*\ \-?0\.0056\d*\ \-?0\.0056\d*
+1\d*\ \-?0\.0014\d*\ \-?0\.0014\d*
+1\d*\ \-?0\.047\d*\ \-?0\.047\d*
+1\d*\ \-?0\.0032\d*\ \-?0\.0032\d*
+1\d*\ \-?0\.0045\d*\ \-?0\.0045\d*
+1\d*\ \-?0\.0066\d*\ \-?0\.0066\d*
+1\d*\ \-?0\.022\d*\ \-?0\.022\d*
+1\d*\ \-?0\.00047\d*\ \-?0\.00047\d*
+1\d*\ \-?8\.\d*e\-?\d*\ \-?8\.\d*e\-?\d*
+1\d*\ \-?0\.0022\d*\ \-?0\.0022\d*
+1\d*\ \-?0\.001\d*\ \-?0\.001\d*
+1\d*\ \-?0\.0019\d*\ \-?0\.0019\d*
+1\d*\ \-?0\.001\d*\ \-?0\.001\d*
+1\d*\ \-?0\.0015\d*\ \-?0\.0015\d*
+1\d*\ \-?0\.0016\d*\ \-?0\.0016\d*
+1\d*\ \-?0\.0020\d*\ \-?0\.0020\d*
+1\d*\ \-?0\.0023\d*\ \-?0\.0023\d*
+1\d*\ \-?0\.0028\d*\ \-?0\.0028\d*
+1\d*\ \-?9\.6\d*e\-?\d*\ \-?9\.6\d*e\-?\d*
+1\d*\ \-?0\.0010\d*\ \-?0\.0010\d*
+1\d*\ \-?0\.0\d*\ \-?0\.0\d*
diff -r 000000000000 -r 7a092113eb8c tool_dependencies.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/tool_dependencies.xml Mon May 19 12:34:54 2014 -0400
@@ -0,0 +1,18 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+