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  • Committer: Package Import Robot
  • Author(s): Ole Streicher
  • Date: 2014-04-22 14:44:58 UTC
  • Revision ID: package-import@ubuntu.com-20140422144458-okiwi1assxkkiz39
Tags: upstream-13.09pl1.2+dfsg
ImportĀ upstreamĀ versionĀ 13.09pl1.2+dfsg

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% @(#)mda_tabl.hlq      19.1 (ESO-IPG) 02/25/03 13:27:05
 
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%++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 
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%.COPYRIGHT  (c)  1990 European Southern Observatory
 
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%.IDENT      mda_tab.hlq
 
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%.AUTHOR     FM, IPG/ESO
 
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%.KEYWORDS   MIDAS, help files, MDA/TAB
 
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%.PURPOSE    On-line help file for the command: MDA/TAB
 
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%.VERSION    1.0  28-AUG-1986 : Creation, FM
 
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%----------------------------------------------------------------
 
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\se
 
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SECTION./TABL
 
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\es\co
 
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MDA/TAB                                                 28-AUG-1986  FM
 
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\oc\su
 
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MDA/TAB  input_table  output_table  eigenvectors
 
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        discriminant analysis
 
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\us\pu
 
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Purpose:   Multiple Discriminant Analysis, Discriminant Factor
 
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           Analysis, Canonical Discriminant Analysis.
 
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\up\sy
 
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Syntax:    MDA/TAB  input_table  output_table  eigenvectors
 
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\ys\pa
 
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           input_table = input table name.
 
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\ap\pa
 
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           output_table = output table name.
 
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\ap\pa
 
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           eigenvectors = output table name (defaults to none).
 
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\ap\no
 
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Note:      Singularities, caused by linear dependance, can be circumvented
 
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           by first carrying out a PCA, and using a small number of principal
 
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           components as input to LDA.
 
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           Singularity problems may arise in matrix inversion, due to
 
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           very small values: if you get an IERR=2 message, multiplying
 
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           the input data by an arbitrary constant may painlessly get
 
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           around the difficulty.
 
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\on\exs
 
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Examples:
 
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\ex
 
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           MDA/TAB INTAB OUTAB
 
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\xe \sxe