Armeanu, Dan; Lache, Leonard - In: Theoretical and Applied Economics 6(523) (2008) 6(523), pp. 11-20
Principal components analysis (PCA) is a multivariate data analysis technique whose main purpose is to reduce the dimension of the observations and thus simplify the analysis and interpretation of data, as well as facilitate the construction of predictive models. A rigorous definition of PCA has...