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Hi, I am an old hand at chemistry but a complete beginner at statistics including R computations. My question is whether you can carry out nonlinear multivariate regression analysis in R using neural networks, where the output variable can range from -Inf to + Inf., unlike discriminant analysis where the output is confined to one or zero. The library nnet seems to work only in the latter

It seems that some examples at http://rspec.info are broken with invalid html. For example: http://rspec.info/documentation/before_and_after.html All those spans there should not be visible, I think :) Isn''t rspec.info web tested well enough? :P Best regards, Jarmo

This was posted not too long ago on sci.crypt... Enjoy... I think the most relevant information is near the top, but it''s all quite good... :-) -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- There is no intrinsic difference between algorithm and data, the same information can be viewed as data in one context and as algorithm in another. Why then do so many people claim that encryption algorithms