The paper “A comparison of methods for analyzing multivariate sensory data in designed experiments – a case study of salt reduction in liver paste” authored by Tormod Næs, Oliver Tomic and others is to be published in food quality and preference. The paper presents a comparison of different methods for analyzing designed experiments. The methods used are based on PCA, PLS and ANOVA, used either separately or in combination. Special emphasis will be on how to obtain information about medium and less important factors in the presence of very dominating ones. It will be shown that this could be done by splitting the dataset in two. Our propositions will be illustrated on a data set obtained for studying the effect of salt reduction in liver paste. THe paper is written together with Kirsti Greiff (SINTEF) and Kari Thyholt (Mills DA).
Key words. PCA, ANOVA, PLS regression, ASCA, designed experiments.