SPES and Q&P invite you to the upcoming webinar on Thursday, September 27, 2012 from 11:00am-1:00pm Eastern Time as Dr. Jay Magidson, founder and president of Statistical Innovations Inc., presents Correlated Component Regression: A New Method for Analyzing Big Data or Small Data Containing Many Correlated Predictors.
In this webinar, we introduce a new regression method called Correlated Component Regression (CCR), which provides reliable predictions of a dependent variable even with collinear or near multicollinear data. Following a discussion of multicollinearity problems and use of M-fold cross-validation to avoid overfitting in model development, CCR is introduced and applied using the CORExpress® software in several examples involving real and simulated data.
We will open registration soon. Save the date!