The principal component analysis is that mathematical procedure which uses an orthogonal transformation for converting a set of observations which have possibly correlated values into the set of values containing uncorrelated variable. which are also called as principal components. The number of original variables is either equal to or less than the number of original variables. https://www.expertsmind.com/statistics/principal-component-analysis-homework-assignment-help.aspx