This paper studies the application of principal component analysis, multiple polynomial regression, and artificial neural network ANN techniques to the quantitative analysis of binary mixture of dye solution. The binary mixtures of three textile dyes including blue, red and yellow colors were analyzed by PCA-Multiple polynomial Regression and PCA-Artificial Neural network PCA-ANN methods. The o...

A multiple regression model for the analysis o f twin data is described in which a cotwin's score is predicted from a proband's score and the coefficient o f relationship (R = 1.0 and 0.5 for identical and fraternal twin pairs, respectively). This model is especially appropriate for the analysis o f data on twins in which one member o f each pair has been selected because o f a deviant score, e...