simRegression Data Type Specifications

Data Type Specifications tell the model what form the data from each column is in so it knows how to properly compare values.

simRegression accepts the following Data Types:

ID	A mandatory field that uniquely identifies each object.
REGRESSION	A mandatory field that specifies the field to be classified.
REAL	Numerical values.
NOMINAL	Values that do not bear a quantitative relationship with each other (i.e., strings and numbers that represent non-numerical information).
MULTI_PLAIN	Multiple NOMINAL values separated by spaces. Non-language specific.
MULTI_ENGLISH	Multiple NOMINAL values separated by spaces. The text is English language.
MULTI_SPANISH	Multiple NOMINAL values separated by spaces. The text is Spanish language.
MULTI_JAPANESE	Multiple NOMINAL values separated by spaces. The text is Japanese language.
ITEM_SET	A series of values with weights. (Formatted as item1:weight1;item2:weight2;item3:weight3)
IGNORE	The column shall be ignored by the program.
NULL_INDICATOR	This column type identifies the presence or absence of non-numerical data, assigning different weights to any cell with data versus those without data.