Detection of Influential Observation in Linear Regression. - R. Dennis Cook (Technometrics, 2000)

Discussion. - R. Dennis Cook (Technometrics, 2000)

A Note on Visualizing Response Transformations in Regression. - R. Dennis Cook; David J. Olive (Technometrics, 2001)

Cluster-based estimation for sufficient dimension reduction. - Lexin Li; R. Dennis Cook; Christopher J. Nachtsheim (Comput. Stat. Data Anal., 2004)

K-Means Inverse Regression. - C. Messan Setodji; R. Dennis Cook (Technometrics, 2004)

Graphical Tools for Quadratic Discriminant Analysis. - Iain Pardoe; Xiangrong Yin; R. Dennis Cook (Technometrics, 2007)

Response dimension reduction for the conditional mean in multivariate regression. - Jae Keun Yoo; R. Dennis Cook (Comput. Stat. Data Anal., 2008)

Cook's Distance. - R. Dennis Cook (International Encyclopedia of Statistical Science, 2011)

Analysis and efficient 2k - 1 designs for experiments in blocks of size two. - P. C. Wang; R. Dennis Cook (Qual. Reliab. Eng. Int., 2012)

Rejoinder. - Mark C. Albrecht; Thomas A. Albrecht; Christopher J. Nachtsheim; R. Dennis Cook (Technometrics, 2013)

Experimental Design for Engineering Dimensional Analysis. - Mark C. Albrecht; Christopher J. Nachtsheim; Thomas A. Albrecht; R. Dennis Cook (Technometrics, 2013)

Letter to the Editor. - Marck C. Albrecht; Christopher J. Nachtsheim; Thomas A. Albrecht; R. Dennis Cook (Technometrics, 2014)

Tensor sliced inverse regression. - Shanshan Ding; R. Dennis Cook (J. Multivar. Anal., 2015)

Simultaneous Envelopes for Multivariate Linear Regression. - R. Dennis Cook; Xin Zhang (Technometrics, 2015)

A note on fast envelope estimation. - R. Dennis Cook; Liliana Forzani; Zhihua Su (J. Multivar. Anal., 2016)

Scaled Predictor Envelopes and Partial Least-Squares Regression. - R. Dennis Cook; Zhihua Su (Technometrics, 2016)

A convex formulation for high-dimensional sparse sliced inverse regression. - Kean Ming Tan; Zhaoran Wang 001; Tong Zhang 001; Han Liu 001; R. Dennis Cook (CoRR, 2018)

Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments. - Andrew Glaws; Paul G. Constantine; R. Dennis Cook (Stat. Comput., 2020)

Multivariate Design of Experiments for Engineering Dimensional Analysis. - Daniel J. Eck; R. Dennis Cook; Christopher J. Nachtsheim; Thomas A. Albrecht (Technometrics, 2020)

A slice of multivariate dimension reduction. - R. Dennis Cook (J. Multivar. Anal., 2022)

Envelope Model for Function-on-Function Linear Regression. - Zhihua Su; Bing Li; R. Dennis Cook (J. Comput. Graph. Stat., 2023)

Partial least squares for simultaneous reduction of response and predictor vectors in regression. - R. Dennis Cook; Liliana Forzani; Lan Liu (J. Multivar. Anal., 2023)