ENMAT V2.3.0.4 is now available

Update Summary

  • Added Multiple Factor Regression Analysis
  • Added CUSUM Analysis


Updated User guide 

pdf_icon Download the updated ENMAT User guide  Pages 45 – 49 updated.

Document Date updated: 7th September 2015

Document Version: 1.7


Multiple regression analysis is a powerful technique used for predicting the unknown value of a variable from the known value of two or more variables- also called the predictors.

Regression analysis essentially estimates the relationships among variables (trend)

The purpose of multiple regression is to predict a single variable from one or more independent variables. Multiple regression with many predictor variables is an extension of linear regression with two predictor variables. A linear transformation of the X variables is done so that the sum of squared deviations of the observed and predicted Y is a minimum.












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Current Version
ENMAT V2.4.10.0 released 6th April 2016.

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