# How to get a redundancy index when performing canonical correlation analysis in SPSS?

I am trying to perform a canonical correlation analysis to investigate the relationship between attitudes (14 variables), perceived consumer effectiveness (6 variables) AND Intention to dine (DV) 14 variables. However when SPSS generates the Manova Output there are no tables on redundancy index and as far as I understand this index is important to report as it explains how good are the IVs as the predictors of the variance in DV. This is the script that i am using for the test:

manova Attitudes PCE with Intention
/ discrim all alpha(1)
/ print=sig(eigen dim).


Thank you! Oksana

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It's been a while since I've run canonical correlation in SPSS. Perhaps have a look at the cancorr macro. It's an alternative way of running a canonical correlation, and from memory it provides slightly different output.

### Running Cancor

Here's some info on running cancorr, extracting the important bit:

"Note that the location script required to run CANCORR changes between versions and installations of SPSS. David Garson sets out the following code template:"

INCLUDE 'c:\Program Files\SPSS\Canonical correlation.sps'.
CANCORR SET1=varlist/  SET2=varlist/.


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(+1) There seems to be some additional information on this thread: forums.spss.co.in/forum_posts.asp?TID=193 (can't check myself). –  chl Apr 28 '11 at 8:57
library(foreign)

you can check your SPSS results against one of the R packages that allow to perform CCA (see the CRAN Task View on Multivariate or Psychometrics analysis). In particular, the vegan package offers an handy way to apply CCA and has nice graphical and numerical summary through the CCorA() function.