Description
Applied Analytic Systems' Multiple Linear Regression components contain all of the statistical, matrix algebra, mathematics required for modeling data from tables in which a relationship between the data in multiple datafields is suspected. In addition to the mathematical formulas contained in the MLRQuery and MLRTable components, each of these components possess all of the functionality, methods, events, and properties of the Query (TQuery) and Table (TTable) components repectively. The MLR components are very flexible, allowing any of the control variables to represent a transformation of the data contained in database table fields. Possible transformations include products and quotients of two data fields, log of a datafield, inverse of a datafield, and values of any datafield raised to an integer power. Response variables can also be transformed to achieve a curvi-linear regression model. Modeling the data transformations is explained in the MLR Help file.
Related:
Anova - Curvilinear Regression - Delphi Components - Linear Regression - Multivariate Regression - Statistical Programming
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