a Principal Components AnalysiS(PCA) is a dimension reduction method that creates variables called principal components creates as many components as there are input variables. a Principal Components are weighted linear combinations of input variables aca othogonal to and independent of other components are generated so that the first component accounts for the most variation in the xs followed by the second component, and so on 2021/1/21 cXt2021/1/21 9 cxt  Principal Components Analysis(PCA) is a dimension reduction method that creates variables called principal components creates as many components as there are input variables.  Principal Components are weighted linear combinations of input variables are orthogonal to and independent of other components are generated so that the first component accounts for the most variation in the xs, followed by the second component, and so on