Linear and Non-Linear Regression Regression analysis in StatPac is sophisticated and remarkably easy to use. Another special robust technique is available to reduce distortion caused by extreme data points. StatPac can produce a rich variety of tables for regression, autocorrelation and residual analysis. The multiple regression program in StatPac has been given top ratings by reviewers for its speed, accuracy and completeness. The stepwise method is forward inclusion with backward elimination.
Output includes all the regression statistics and matrices.
You can even switch to interactive prediction to try the regression equation on new data, or save the model for future use. A banker might use these methods to determine the probability that a person will pay back a loan, or a medical researcher might use them to determine the probability that an experimental drug would be successful. Both techniques use accurate non-linear algorithms. Canonical Correlation Canonical correlation is a powerful multivariate technique to study the intercorrelational structure between two sets of variables. One set is usually regarded as dependent and the other as independent.