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You can generate tables of output from canonical correlation analyses by setting options in the Canonical Correlation Options dialog or by selecting Canonical Correlations from the Tables menu.

The Canonical Correlations table contains the following:

- CanCorr, the canonical correlations, which are always nonnegative.
- Adj. CanCorr, the adjusted canonical correlations, which are asymptotically less biased than the raw correlations and may be negative. The adjusted canonical correlations may not be computable and are printed as missing values if two canonical correlations are nearly equal or if some are close to zero. A missing value is also printed if an adjusted canonical correlation is larger than a previous adjusted canonical correlation.
- Approx Std. Error, the approximate standard errors of the canonical correlations.
- CanRsq, the squared canonical correlations.

The Eigenvalues table presents
eigenvalues of the matrix
*R ^{-1}*

The table titled Test for H0: CanCorr[j]=0, j>=k, displays the likelihood ratio for the hypothesis that the current canonical correlation and all smaller ones are zero in the population.

- Approx F based on Rao's approximation to the distribution of the likelihood ratio.
- Num DF and Den DF (numerator and
denominator degrees of freedom) and Pr > F (probability
level) associated with the
*F*statistic.

The Correlations (Structure) table includes the correlations between the input X variables and the canonical variables. The scoring coefficients are the coefficients of the X variables that are used to compute canonical variable scores. The Std Scoring Coefs table includes the scoring coefficients of the standardized X variables, and the Raw Scoring Coefs table includes the scoring coefficients of the centered X variables.

The Correlations (Structure) table includes the correlations between the input Y,X variables and canonical variables.

The scoring coefficients are the coefficients of the Y or X variables that are used to compute canonical variable scores. The Std Scoring Coefs table includes the scoring coefficients of the standardized Y or X variables and the Raw Scoring Coefs table includes the scoring coefficients of the centered Y or X variables.

The Redundancy table gives the canonical redundancy analysis which includes the proportion and cumulative proportion of the raw (unstandardized) and standardized variance of set of Y and set of X variables explained by their own canonical variables and explained by the opposite canonical variables.

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