# Large n small p regression - Machine Learning [closed]

In the area of machine learning, most of the algorithms are intended for small n large p problems. I am familiar with the statistical techniques of PCA, etc but was wondering what algorithms are available in the machine learning area for similar analysis work. The aim is to determine the effect of a limited number of predictor variables on the outcome using robust methods such as pca in the ML domain,

• I voted to close as a duplicate, but this was based on a mis-reading the title as asking about $n<p$ and not about $n>p$. Now I see that it is not a duplicate, but instead an unclear question. If I could, I would vote to close as unclear. – amoeba Jan 26 '15 at 15:03