Discriminant analysis is one of the earliest statistical methods that is used to classify observations into distinct populations. As with many of the earlier pioneering works in statistics, this technique too had been invented by the great Sir R. A. Fisher. The theory of discriminant analysis is beyond the scope of this book. We would simply be content with the use of the lda function from the MASS package. Before applying the lda R technique to the German credit data, we will first apply it on the iris dataset, which is also popular thanks to Fisher. Following the application of the method to the iris dataset, we will then apply it to the German credit data problem.
Discriminant analysis
Getting ready
The requirement of the...
