PROC CANDISC assigns a name to each table that it creates. You can use these names to reference the table when using the Output Delivery System (ODS) to select tables and create output data sets. These names are listed in Table 31.2. For more information about ODS, see ChapterĀ 20: Using the Output Delivery System.

Table 31.2: ODS Tables Produced by PROC CANDISC

ODS Table Name |
Description |
PROC CANDISC Option |
---|---|---|

ANOVA |
Univariate statistics |
ANOVA |

AveRSquare |
Average R square |
ANOVA |

BCorr |
Between-class correlations |
BCORR |

BCov |
Between-class covariances |
BCOV |

BSSCP |
Between-class SSCP matrix |
BSSCP |

BStruc |
Between canonical structure |
Default |

CanCorr |
Canonical correlations |
Default |

CanonicalMeans |
Class means on canonical variables |
Default |

Counts |
Number of observations, variables, |
Default |

CovDF |
Degrees of freedom for covariance matrices, not printed |
Any *COV option |

Dist |
Squared distances |
DISTANCE |

DistFValues |
F statistics based on squared distances |
DISTANCE |

DistProb |
Probabilities for F statistics from |
DISTANCE |

Levels |
Class level information |
Default |

MultStat |
MANOVA |
Default |

NObs |
Number of observations |
Default |

PCoef |
Pooled standard canonical coefficients |
Default |

PCorr |
Pooled within-class correlations |
PCORR |

PCov |
Pooled within-class covariances |
PCOV |

PSSCP |
Pooled within-class SSCP matrix |
PSSCP |

PStdMeans |
Pooled standardized class means |
STDMEAN |

PStruc |
Pooled within canonical structure |
Default |

RCoef |
Raw canonical coefficients |
Default |

SimpleStatistics |
Simple statistics |
SIMPLE |

TCoef |
Total-sample standard canonical |
Default |

TCorr |
Total-sample correlations |
TCORR |

TCov |
Total-sample covariances |
TCOV |

TSSCP |
Total-sample SSCP matrix |
TSSCP |

TStdMeans |
Total standardized class means |
STDMEAN |

TStruc |
Total canonical structure |
Default |

WCorr |
Within-class correlations |
WCORR |

WCov |
Within-class covariances |
WCOV |

WSSCP |
Within-class SSCP matrices |
WSSCP |