This is a statistical analysis and modelling of 3 different datasets related to breast cancer. The goal is to apply different statistical techniques and modelling methods to these data using the statistical software SAS. The three datasets used are;
HABERMAN dataset for logistic REGRESSION - https://archive.ics.uci.edu/ml/datasets/haberman's+survival
COIMBRA breast cancer data for PCA - http://archive.ics.uci.edu/ml//datasets/Breast+Cancer+Coimbra
WDBA data for CLUSTERING using 50 samples - https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(original)