The aim of this paper was to apply Principal Component Analysis (PCA) and hierarchical regression model on Kenyan Macroeconomic variables. study adopted a mixed research design (descriptive correlational designs). 18 macroeconomic variables data were extracted from Kenya National Bureau Statistics World Bank for the period 1970 2019. R software utilized conduct all analysis. used reduce dimensi...

A solution to the problem of having deal with a large number interrelated explanatory variables within generalized additive model for location, scale and shape (GAMLSS) is given here using as an example Greek–German government bond yield spreads from 25 April 2005 31 March 2010. Those were turbulent financial years, in order capture behaviour, has be able complex nature indicators used predict ...