“…The intent was to remove known noisy variables and to reduce data sets to a more manageable size while better addressing equipment accommodation (Bittner, Glenn, Harris, Iavecchia, & Wherry, 1987;Meindl, Zehner, & Hudson, 1993). Principal component analysis (PCA) has been the premier method of variable reduction and has been effective in increasing body size accommodation in tractor cab and cockpit designs (Hsiao et al, 2005;Robinson, Robinette, & Zehner, 1992); it however was found lacking when applied to body dimensions, which showed poor intercorrelation, such as facial dimensions (Hudson, Zehner, & Meindl, 1998).…”