Rotation of Functional Canonical Components with VARIMAX
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)
ccafd |
an object of class "cca.fd" that is produced by function
|
nx |
the number of points in a fine mesh of points that is required to approximate canonical variable functional data objects. |
a rotated version of argument cca.fd.
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