Model table data formats

The model tables are created in the schema where you run the algorithm.

<model name>_META table
This table contains meta information on the matrix representation of the input table.
<model name>_PCA table
This table contains the matrix of variable loadings for the input table.
<model name>_PCA_ATTMEAN table
If the value of the centerdata parameter is set to true, this table contains the mean values of the input variables.
<model name>_PCA_ATTSD table
If the value of the scaledata parameter is set to true, this table contains the standard deviation value of the input variables.
<model name>_PCA_ATTSD_DIV table
If the value of the scaledata parameter is set to true, this table contains the normalized standard deviation value of the input variables.
<model name>_PCA_SDEV table
This table contains the standard deviation values of the principal components.
<model name>_PCA_SCORES table
If the value of the savescores parameter is set to true, this table contains the score matrix for the principal components.

Parent topic: Principal component analysis (PCA)