SPSS® 12.0 Command Syntax Reference

190 Syntax Reference
Overview
Options
[LOADING**[(varlist [(CENTR[(varlist)])])][(n)]]
[CATEGORY (varlist)[(n)]]
[JOINTCAT[({varlist})][(n)]] [TRANS[(varlist[({1})])]
{n}
[BIPLOT[({LOADING}[(varlist)])[(varlist)]] [(n)]]
{CENTR }
[TRIPLOT[(varlist[(varlist)])][(n)]]
[RESID(varlist[({1})])[(l)]]
[PROJCENTR(varname, varlist)[(n)]] [NONE]]
{n}
[/SAVE = [TRDATA[({TRA }[{n}])]] [OBJECT[({OBSCO }[{n}])]]
{rootname} {rootname}
[APPROX[({APP })]]]
{rootname}
[/OUTFILE = [TRDATA*[(file)]] [DISCRDATA[(file)]]
[OBJECT[(file)]] [APPROX[(file)]]].
** Default if the subcommand is omitted.
CATPCA performs principal components analysis on a set of variables. The variables can be
given mixed optimal scaling levels, and the relationships among observed variables are not
assumed to be linear.
In CATPCA, dimensions correspond to components (that is, an analysis with two
dimensions results in two components), and object scores correspond to component scores.
Optimal scaling level. You can specify the optimal scaling level (spline ordinal, spline nominal,
ordinal, nominal, multiple nominal, or numerical) at which you want to analyze each
variable.
Discretization. You can use the DISCRETIZATION subcommand to discretize fractional-value
variables or to recode categorical variables.
Missing data. You can specify the treatment of missing data on a per variable basis with the
MISSING subcommand.
Supplementary objects and variables. You can specify objects and variables that you want to
treat as supplementary to the analysis and then fit them into the solution.
Read configuration. CATPCA can read a principal components configuration from a file
through the CONFIGURATION subcommand. This can be used as the starting point for your
analysis or as a fixed solution in which to fit objects and variables.
Number of dimensions. You can specify how many dimensions (components) CATPCA should
compute.
Normalization. You can specify one of five different options for normalizing the objects and
variables.
Tuning the algorithm. You can control the values of algorithm-tuning parameters with the
MAXITER and CRITITER subcommands.