[ncl-talk] Partial regression with multi-dimensional input

[gibies george]

Dear NCL users,

I would like to locate the source code of "reg_multlin". I wish to program
a customised version this function to handle multi-dimensional input.

	function reg_multlin (
		y    [*] : numeric,
		x [*][*] : numeric,
		option   : logical
	)

	return_val <http://www.ncl.ucar.edu/Document/Functions/return_val.shtml>
[*] :  float or double

I wish to be able to pass 3D (multi-D) data to "y" and retun the
partial regression coefficient with metadata.

x1(N), x2(N), y(K,M,N) ==> b(K,M)

Does anybody made an attempt for the same or similar target? Any help
in this direction is most valuable and highly apreciable.

*Gibies George,*


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