Canonical Correlation | Reference.com

Canonical correlation - Wikipedia, the free encyclopedia

In statistics, canonical correlation analysis , introduced by Harold Hotelling, is a way of making sense of cross-covariance matrices. If we have two sets of variables, x_1, \dots, x_n and y_1, \...
en.wikipedia.org/wiki/Canonical_correlation

Correlation Test in Excel
Perform Correlation Analysis on Data Now Download 30 day trial.
www.qimacros.com/correlation

Canonical Correlation
NCSS: Comprehensive, Affordable and Easy to Use. Download a Free Trial.
www.ncss.com

Canonical Correlation
Millions of titles, new & used. Qualified orders over $25 ship free
Amazon.com/books

Canonical Correlation: Statnotes, from North Carolina State

A canonical correlation is the correlation of two canonical (latent) variables, one representing a set of independent variables, the other a set of dependent variables. Each set may be considered a latent variable based on measured indicator variables in its set.

faculty.chass.ncsu.edu/garson/PA765/canonic.htm faculty.chass.ncsu.edu/garson/PA765/canonic.htm

PA 765: SPSS Canonical Correlation Output

Notes: Canonical correlation is part of MANOVA in SPSS, in which one has to refer to one set of variables as "dependent" and the other as "covariates." This example uses the MANOVA procedure in SPSS 7.5 for the file "gss 93 subset.sav".

faculty.chass.ncsu.edu/garson/PA765/cancorr2.htm

Generalized canonical correlation - Wikipedia, the free encyclopedia

In statistics, the generalized canonical correlation analysis (gCCA), is a way of making sense of cross-correlation matrices between the sets of random variables when there are more than two sets. I...
en.wikipedia.org/wiki/Generalized_canonical_correlation

R Data Analysis Examples: Canonical Correlation Analysis

Examples of Canonical Correlation Analysis ... Before we show how you can analyze this with a canonical correlation analysis, let's consider some other methods that you might use. ... There is a lot of variation in the write-ups of canonical correlation analyses. The write-up below is fairly minimal, including only the tests...

www.ats.ucla.edu/stat/R/dae/canonical.htm www.ats.ucla.edu/stat/R/dae/canonical.htm

SPSS Data Analysis Examples: Canonical Correlation Analysis

Examples of Canonical Correlation Analysis ... SPSS performs canonical correlation using the manova command. Don't look for manova in the point-and-click analysis menu, its not there. The manova command is one of SPSS's hidden gems that is often overlooked.

www.ats.ucla.edu/stat/spss/dae/canonical.htm www.ats.ucla.edu/stat/spss/dae/canonical.htm

Canonical Analysis

Canonical Correlation is an additional procedure for assessing the relationship between variables. Specifically, this analysis allows us to investigate the relationship between two sets of variables.

www.statsoft.com/textbook/stcanan.html

ED231A: Canonical Correlation Analysis

Each canonical correlation has an eigenvalue related to Wilks' Lambda. ... What Canonical Correlation Analysis Does... ... Stata has completely rewritten their canonical correlation procedure in Stata 9.

www.gseis.ucla.edu/courses/ed231a1/notes2/can1.html

Precipitation Forecasts for the Tropical Pacific Islands Using

Canonical correlation analysis (CCA) identifies linear relationships between multicomponent predictors and multicomponent predictands, e.g. pattern-to-pattern relationships in space and/or time. Like simpler forms of linear regression, CCA minimizes squared errors in hindcasting the predictands from the predictors.

grads.iges.org/ellfb/Jun98/he.html

Structure, Redundancy and Measures of Association Statistics for a

A computer program, written in BASIC, is described which computes structure correlations, redundancy indices, and some measures of associations for canonical correlation analyses. Input consists of a correlation matrix, the coefficients of the canonical variates, and the canonical correlation.

epm.sagepub.com/cgi/content/abstract/41/1/217