Variance 
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For both Redundancy Analysis and Canonical Correspondence Analysis this tab presents tabulated data for the eigenvalues of each axis and the amount of variance present in the original data that is accounted for by the axis. It also gives summary information on your data set. The total variance or what is more strictly termed inertia is the sum of the canonical and noncanonical Eigen values.
The output is explained below.
Number of sites  This is the number of columns in the Sample/Species array loaded as the biological file. It may be the number of transects, quadrats, pitfall traps etc. Number of species  This is the number of rows in the Sample/Species array loaded as the biological file. It is the total number of taxa in the data set. Number of environmental variables  This is the number of rows in the Environmental array loaded as the biological file. It is the total number of taxa in the data set. Number of canonical axes  This is the number of axes that can be related to environmental variables. Number of noncanonical axes  This is the number of axes that hold the residual variance unexplained by a linear combination of the environmental variables. Total variance  This is the sum of the variance explained by the canonical and noncanonical eigenvalues. Canonical Eigenvalues  These are the eigenvalues for the canonical axes. % variance explained  This is the amount of the total variance in the data that is explained by each of the canonical axes. Cumulative % variance  This is the sum total of the variance explained by the addition of each new canonical axis. Multiple correlation species/environment scores  The analysis produces scores for each site based on either their environmental variables or species composition. This row gives, for each canonical axis, the correlation between these two scores for all the sites. The value presented is the multiple correlation coefficient produced by a multiple regression of the environmental variables and the site (sample) scores derived from the weighted average of the species as the dependent variable. This value should be viewed with caution see Problems with SpeciesEnvironment Correlation. Kendal rank correlation species/environment scores  The analysis produces scores for each site based on either their environmental variables or species composition. This row gives, for each canonical axis, the Kendal rank correlation between these two scores for all the sites. Noncanonical Eigenvalues  These are the eigenvalues for the noncanonical axes and represent the variance that could not be explained by a linear combination of the environmental variables. These are the results of the residual analysis. % variance explained  This is the amount of the total variance in the data that is explained by each of the noncanonical axes. Cumulative % variance  This is the sum total of the variance explained by the addition of each new noncanonical axes.
These results can be printed or exported from the File menu and copied from the Edit menu. See Export Active Grid
