ldr: Methods for likelihood-based dimension reduction in regression

Functions, methods, and data sets for fitting likelihood-based dimension reduction in regression, using principal fitted components (pfc), likelihood acquired directions (lad), covariance reducing models (core).

AuthorKofi Placid Adragni, Andrew Raim
Date of publication2014-10-29 16:36:14
MaintainerKofi Placid Adragni <kofi@umbc.edu>
LicenseGPL (>= 2)
Version1.3.3
http://www.jstatsoft.org/v61/i03/

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