Kernel Canonical Correlation Analysis (version 1.0.0)

Select data:

Dataset missing? See TIP below.

Select columns containing X variables :

Select columns containing Y variables :

Number of canonical components to return:

Enter an integer value greater than 0

Kernel function:

sigma (inverse kernel width):

TIP: If your data is not TAB delimited, use Edit Datasets->Convert characters

What it does

This tool uses functions from 'kernlab' library from R statistical package to perform Kernel Canonical Correlation Analysis (kCCA) on the input data.

Alexandros Karatzoglou, Alex Smola, Kurt Hornik, Achim Zeileis (2004). kernlab - An S4 Package for Kernel Methods in R. Journal of Statistical Software 11(9), 1-20. URL http://www.jstatsoft.org/v11/i09/

Note

This tool currently treats all variables as continuous numeric variables. Running the tool on categorical variables might result in incorrect results. Rows containing non-numeric (or missing) data in any of the chosen columns will be skipped from the analysis.