Techniques for the analysis of mixture data are discussed. It is shown that mixture models often can be simplified by observing near equalities among the estimated coefficients. Expressing the components in terms of pseudocomponents will sometimes improve the fit of Becker's models [1] and improve the numerical analysis. Scatter plots are useful in detecting dominant components in a mixture system. The ratio model is shown to be a useful alternative to the polynomial and Becker's models. Examples are presented to illustrate these methods of analysis.