Getting Started: CANDISC Procedure ! 1063 4. Back-transform the principal components into the space of the original variables, obtaining the canonical variables. An interesting property of the canonical variables is that they are uncorrelated whether the correla- tion is calculated from the total sample or from the pooled within-class correlations. The canonical coefficients are not orthogonal, however, so the canonical variables do not represent perpendicular directions through the space of the original variables. Getting Started: CANDISC Procedure The data in this example are measurements of 159 fish caught in Finland's lake Laengelmavesi; this data set is available from the Journal of Statistics Education Data Archive. For each of the For each of the seven species (bream, roach, whitefish, parkki, perch, pike, and smelt) the weight, length, height, and width of each fish are tallied. Three different length measurements are recorded: from the nose of the fish to the beginning of its tail, from the nose to the notch of its tail, and from the nose to the end of its tail. The height and width are recorded as percentages of the third length variable. The following statements create the SAS data set: title 'Fish Measurement Data';