[FDE] Hiding Messages in Regression

[Scott S]

Regression is a statistical method to discover hidden relationships in a 
given data set - data set that might represent consumer behavior, stock 
market trends, weather patterns, etc. Dr. Len Stefanski, professor of 
statistics at North Carolina State University, has found a novel way to 
infuse images into the data set in such way that if the optimal regression 
model is derived, it reveals the hidden image < 
http://www.stat.ncsu.edu/blogs/news/?p=30 >. He has done this to bring 
"fun" to regression exercises, but his idea could be expanded to 
cryptography, where hidden messages in a data set can only be decoded by 
the correct regression model.  More samples of his data set can be found 
here < 
http://www4.stat.ncsu.edu/~stefanski/NSF_Supported/Hidden_Images/stat_res_plots.html 
>.

Scott