Results of canonical correlation analysis are often easier to interpret if they are rotated. Among the many possible ways in which this rotation can be defined, the VARIMAX criterion seems to give satisfactory results most of the time.
varmx.cca.fd(ccafd, nx=201)a rotated version of argument cca.fd.
an object of class "cca.fd" that is produced by function
cca.fd.
the number of points in a fine mesh of points that is required to approximate canonical variable functional data objects.
Ramsay, James O., Hooker, Giles, and Graves, Spencer (2009), Functional data analysis with R and Matlab, Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2005), Functional Data Analysis, 2nd ed., Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York.
varmx,
varmx.pca.fd