We have biological data sets with about 42,000 observations; in addition, between these extremes, there are different levels of correlation. What regression model do you recommend? Thank you for your tolerance of my primary questions
closed as not a real question by chl♦ Mar 27 at 16:07
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After some pre-processing for dimensionality reduction (DR), you can look at nonparametric regression methods. Furthermore, Regression trees may be helpful since they also do some sort of automatic DR.