HOMALS

HOMALS is available in Sampling and Testing.

HOMALS (homogeneity analysis by means of alternating least squares) estimates category quantifications, object scores, and other associated statistics that separate categories (levels) of nominal variables as much as possible and divide cases into homogeneous subgroups.

HOMALS  VARIABLES=varlist(max)

[/ANALYSIS=varlist]

[/NOBSERVATIONS=value]

[/DIMENSION={2**  }]
            {value}

[/MAXITER={100**}] 
          {value}

[/CONVERGENCE={.00001**}] 
              {value   }

[/PRINT=[DEFAULT**] [FREQ**] [EIGEN**] [DISCRIM**] 
        [QUANT**] [OBJECT] [HISTORY] [ALL] [NONE]] 

[/PLOT=[NDIM=({1, 2        }**)] 
              {value, value}
              {ALL, MAX    }
       [QUANT**[(varlist)][(n)]] [OBJECT**[(varlist)][(n)]] 
       [DEFAULT**[(n)]] [DISCRIM[(n)]] [ALL[(n)]] [NONE]] 

[/SAVE=[rootname] [(value)]]

[/MATRIX=OUT({*   })]
             {'savfile'|'dataset'}

**Default if the subcommand or keyword is omitted.

This command reads the active dataset and causes execution of any pending commands. See the topic Command Order for more information.

Example

HOMALS  VARIABLES=ACOLA(2) BCOLA(2) CCOLA(2) DCOLA(2).