The sliced mean variance–covariance inverse regression (SMVCIR) algorithm takes grouped multivariate data as input and transforms it to a new coordinate system where the group mean, variance, and covariance differences are more apparent. Other popular algorithms used for performing graphical...

We present a new Stata command, mmp, that generates marginal model plots (Cook and Weisberg, 1997, Journal of the American Statistical Association 92: 490–499) for a regression model. These plots allow for the comparison of the fitted model with a nonparametric or semiparametric model fit. The...

We present a new Stata estimation program, mboxcox, that computes the normalizing scaled power transformations for a set of variables. The multivari- ate Box–Cox method (defined in Velilla, 1993, Statistics and Probability Letters 17: 259–263; used in Weisberg, 2005, Applied Linear Regression...

We present a new Stata program, vselect, that helps users perform variable selection after performing a linear regression. Options for stepwise meth- ods such as forward selection and backward elimination are provided. The user may specify Mallows’s Cp, Akaike’s information criterion,...

Abstract The issue of climate change and its potential effects on natural and human systems is becoming more prevalent on citizen and policymaker agendas. Studies of the factors framing citizen levels of concern about climate change and potential policy reactions to it are mainly framed around...