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The CANDISC Procedure |

The OUTSTAT= data set is TYPE=CORR, and it contains the following variables:

- the BY variables, if any
- the CLASS variable
- _TYPE_, a character variable of length 8 that identifies the type of statistic
- _NAME_, a character variable of length 32 that identifies the row of the matrix or the name of the canonical variable
- the quantitative variables (those in the VAR statement, or if there is no VAR statement, all numeric variables not listed in any other statement)

The observations, as identified by the variable _TYPE_, have the following _TYPE_ values:

**_TYPE_****Contents**- N
- number of observations for both the total sample (CLASS
variable missing) and within each class (CLASS variable present)
- SUMWGT
- sum of weights for both the total sample (CLASS variable missing)
and within each class (CLASS variable present)
if a WEIGHT statement is specified
- MEAN
- means for both the total sample (CLASS variable missing)
and within each class (CLASS variable present)
- STDMEAN
- total-standardized class means
- PSTDMEAN
- pooled within-class standardized class means
- STD
- standard deviations for both the total sample (CLASS variable
missing) and within each class (CLASS variable present)
- PSTD
- pooled within-class standard deviations
- BSTD
- between-class standard deviations
- RSQUARED
- univariate
*R*s^{2}

**_TYPE_****Contents**- CSSCP
- corrected SSCP matrix for the total sample (CLASS variable
missing) and within each class (CLASS variable present)
- PSSCP
- pooled within-class corrected SSCP matrix
- BSSCP
- between-class SSCP matrix
- COV
- covariance matrix for the total sample (CLASS variable missing)
and within each class (CLASS variable present)
- PCOV
- pooled within-class covariance matrix
- BCOV
- between-class covariance matrix
- CORR
- correlation matrix
for the total sample (CLASS variable missing)
and within each class (CLASS variable present)
- PCORR
- pooled within-class correlation matrix
- BCORR
- between-class correlation matrix

When the _TYPE_ variable has one of the following values, the _NAME_ variable identifies the canonical variable:

**_TYPE_****Contents**- CANCORR
- canonical correlations
- STRUCTUR
- canonical structure
- BSTRUCT
- between canonical structure
- PSTRUCT
- pooled within-class canonical structure
- SCORE
- total sample standardized canonical coefficients
- PSCORE
- pooled within-class standardized canonical coefficients
- RAWSCORE
- raw canonical coefficients
- CANMEAN
- means of the canonical variables for each class

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