Hi, I have a question regarding the usage of prediction in R:

I have an input data set X, and an output data set Y, I can build up the
correlation between them using kcca() of kernlab, but after I have that
correlation, how can I predict the output Y1 of a new input X1?

I read about the gausspr() but I don't know how to bring the result of
kcca() to use as parameters for gausspr().

Any replies is appreciated!

Thanks a lot,

James.



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