download datas6.m
Language: Matlab
LOC: 17
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MatLinks/Chorus(matlinks)
Server: SourceForge
Type: cvs
...chest\copyleft\gpl\stixbox\
   bincoef.m
   cat2tbl.m
   ciboot.m
   ciquant.m
   cmpmod.m
   Contents.m
   contincy.m
   corr.m
   covboot.m
   covjack.m
   cvar.m
   datas1.m
   datas10.m
   datas11.m
   datas2.m
   datas3.m
   datas4.m
   datas5.m
   datas6.m
   datas7.m
   datas8.m
   datas9.m
   dbeta.m
   dbinom.m
   dchisq.m
   df.m
   dgamma.m
   dgumbel.m
   dhypg.m
   dlognorm.m
   dnorm.m
   dt.m
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   getdata.m
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   identif5.m
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   kaplamai.m
   ldiscrim.m
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   lodds.m
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   logitfit.m
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   normmix.m
   octvinit.m
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   plotdens.m
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   pt.m
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   qbeta.m
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   qqplot.m
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   Readme.m
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   rt.m
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   spearman.m
   stdboot.m
   stdize.m
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   stixdemo.m
   test1b.m
   test1n.m
   test1r.m
   test2n.m
   test2r.m

function x = datas6
%*********************** Cement Data *********************** 
%
%Source:      Daniel, C. and Wood, F. S. (1980),"Fitting Equations to Data:
%             Computer Analysis of Multifactor Data", Second Edition, New
%             York: John Wiley and Sons
%
%Taken From:  Chatterjee and Hadi (1988), p. 259.
%
%Dimension:   14 observations on 6 variables
%
%Description: The data set is one of a sequence of several data sets taken
%             at different times in an experimental study relating the heat
%             evolved during hardening of 14 samples of cement to the
%	      composition of the cement. The explanatory variables are 
%	      weights (measured as percentages of the weight of each sample) 
%	      of five Clinker compounds. The dependant variable (heat) is 
%	      the last column in the data set.

x = [
   6      7     26     60      2.5   85.5
  15      1     29     52      2.3   76
   8     11     56     20      5    110.4
   8     11     31     47      2.4   90.6
   6      7     52     33      2.4  103.5
   9     11     55     22      2.4  109.8
  17      3     71      6      2.1  108
  22      1     31     44      2.2   71.6
  18      2     54     22      2.3   97
   4     21     47     26      2.5  122.7
  23      1     40     34      2.2   83.1
   9     11     66     12      2.6  115.4
   8     10     68     12      2.4  116.3
  18      1     17     61      2.1   62.6
];

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