Partial least squares regression, which has been around for about four decades, is a dimension-reduction algorithm for fitting linear regression models without requiring that the sample size be larger than the number of predictors. It was developed primarily by the Chemometrics community where it is now ingrained as a core method, and it is apparently used throughout the applied sciences.

Lan Wang was elected Fellow of the American Statistical Association.

Statisticians, the original data scientists, stand ready to interpret the information of the digital age. In less than three years we will be producing over 1.7 megabytes of new information every single second for every human being on the planet. This new information, along with the vast amount of information that has already been collected, ranges from the mundane to the extraordinary.

Seniors Sabrina Li and Ryan Lerch participated on an analytics team for the College of Liberal Arts’ First-Year Experience, looking at how a first-year student’s demographic background affects their sense of belonging.