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% File src/library/stats/man/cmdscale.Rd
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% File src/library/stats/man/cmdscale.Rd
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% Part of the R package, https://www.R-project.org
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% Part of the R package, https://www.R-project.org
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% Copyright 1995-2015 R Core Team
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% Copyright 1995-2018 R Core Team
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% Distributed under GPL 2 or later
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% Distributed under GPL 2 or later
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\name{cmdscale}
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\name{cmdscale}
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\alias{cmdscale}
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\alias{cmdscale}
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\concept{ordination}
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\concept{ordination}
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    \eqn{T_1(v) = \left| v \right|}{T.1(v) = abs(v)}, and
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    \eqn{T_1(v) = \left| v \right|}{T.1(v) = abs(v)}, and
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    \eqn{T_2(v) = max( v, 0 )}{T.2(v) = max(v, 0)}.
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    \eqn{T_2(v) = max( v, 0 )}{T.2(v) = max(v, 0)}.
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  }
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  }
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}
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}
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\references{
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\references{
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  Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988)
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  Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988).
85
  \emph{The New S Language}.
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  \emph{The New S Language}.
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  Wadsworth & Brooks/Cole.
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  Wadsworth & Brooks/Cole.
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87
 
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  Cailliez, F. (1983)
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  Cailliez, F. (1983).
89
  The analytical solution of the additive constant problem.
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  The analytical solution of the additive constant problem.
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  \emph{Psychometrika} \bold{48}, 343--349.
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  \emph{Psychometrika}, \bold{48}, 343--349.
-
 
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  \doi{10.1007/BF02294026}.
91
 
92
 
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  Cox, T. F. and Cox, M. A. A. (2001)
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  Cox, T. F. and Cox, M. A. A. (2001).
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  \emph{Multidimensional Scaling}.  Second edition.
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  \emph{Multidimensional Scaling}.  Second edition.
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  Chapman and Hall.
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  Chapman and Hall.
95
 
96
 
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  Gower, J. C. (1966)
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  Gower, J. C. (1966).
97
  Some distance properties of latent root and vector
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  Some distance properties of latent root and vector
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  methods used in multivariate analysis.
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  methods used in multivariate analysis.
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  \emph{Biometrika} \bold{53}, 325--328.
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  \emph{Biometrika}, \bold{53}, 325--328.
-
 
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  \doi{10.2307/2333639}.
100
 
102
 
101
  Krzanowski, W. J. and Marriott, F. H. C. (1994)
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  Krzanowski, W. J. and Marriott, F. H. C. (1994).
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  \emph{Multivariate Analysis. Part I. Distributions, Ordination and
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  \emph{Multivariate Analysis. Part I. Distributions, Ordination and
-
 
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    Inference.}
-
 
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  London: Edward Arnold.
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  Inference.}  London: Edward Arnold. (Especially pp.\sspace{}108--111.)
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  (Especially pp.\sspace{}108--111.)
104
 
108
 
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  Mardia, K.V. (1978)
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  Mardia, K.V. (1978).
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  Some properties of classical multidimensional scaling.
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  Some properties of classical multidimensional scaling.
107
  \emph{Communications on Statistics -- Theory and Methods}, \bold{A7},
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  \emph{Communications on Statistics -- Theory and Methods}, \bold{A7},
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  1233--41.
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  1233--41.
-
 
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  \doi{10.1080/03610927808827707}
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114
 
110
  Mardia, K. V., Kent, J. T. and Bibby, J. M. (1979).  Chapter 14 of
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  Mardia, K. V., Kent, J. T. and Bibby, J. M. (1979).
111
  \emph{Multivariate Analysis}, London: Academic Press.
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  Chapter 14 of \emph{Multivariate Analysis}, London: Academic Press.
112
 
117
 
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  Seber, G. A. F. (1984).
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  Seber, G. A. F. (1984).
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  \emph{Multivariate Observations}.
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  \emph{Multivariate Observations}.
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  New York: Wiley.
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  New York: Wiley.
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