Principal Component Analysis VAL

In PCA Analysis, a set of variables (denoted by columns) is reduced to a smaller number of factors that account for most of the variance in the variables. This can be useful in reducing the number of variables by converting them to factors, or in gaining insight into the nature of the variables when they are used for further data analysis.

Input ports

1. Type: DB Session
   Teradata Connection
   Connection to a Teradata Database Instance
2. Type: Table
   Principal Component Analysis VAL input
   Principal Component Analysis VAL input

Output ports

1. Type: Table
   Principal Component Analysis VAL output
   Principal Component Analysis VAL output