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Partial least squares regression
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#	Item
151	Applications of Canonical Correlation and Partial Least Square Analyses in Landscape Ecology Add to Reading List Source URL: www.epa.gov Language: English - Date: 2011-11-12 17:19:22 Econometrics Multivariate statistics Least squares Canonical correlation Linear regression Correlation and dependence Coefficient of determination Correlation Wetland Statistics Regression analysis Covariance and correlation
152	Doing Least Squares: Perspectives from Gauss and Yule John Aldrich Department of Economics, University of Southampton, Southampton SO1 7 IBJ, UK e-mail:j c a l @soton.ac.uk Add to Reading List Source URL: www.economics.soton.ac.uk Language: English - Date: 2007-08-30 09:26:34 Least squares Ordinary least squares Linear regression Gaussian elimination Partial correlation Correlation and dependence Simple linear regression Matrix Errors and residuals in statistics Statistics Regression analysis Linear least squares
153	Icarus[removed]–225 Contents lists available at SciVerse ScienceDirect Icarus journal homepage: www.elsevier.com/locate/icarus Add to Reading List Source URL: www.planetary.brown.edu Language: English - Date: 2013-07-25 15:38:48 Electromagnetic radiation Space weathering Partial least squares regression Hyperspectral imaging Moon Ultraviolet Basalt Mineral Pyroxene Lunar science Planetary science Astronomy
154	Multivariate Analyses (Canonical Correlation and Partial Least Square, (PLS)) to Model and Assess the Association of Landscape Metrics to Surface Water Chemical and Biological Properties using Savannah River Basin Data Add to Reading List Source URL: www.epa.gov Language: English - Date: 2011-11-12 16:47:29 Econometrics Multivariate statistics Least squares Canonical correlation Correlation and dependence Linear regression Coefficient of determination Plot Statistics Regression analysis Covariance and correlation
155	Package ‘obliqueRF’ July 2, 2014 Title Oblique Random Forests from Recursive Linear Model Splits Version 0.3 Date[removed]Depends R (>= 2.0.0), stats, ROCR, pls, mda, e1071 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 15:54:07 Logistic regression Linear regression Degrees of freedom Statistical classification Random forest Partial least squares regression Matrix Statistics Regression analysis Econometrics
156	SCGLR - An R Package for Supervised Component Generalized Linear Regression Fr´ed´eric Mortier∗, Catherine Trottier†‡, Guillaume Cornu∗and Xavier Bry‡ July 17, 2014 Summary: Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-17 10:58:19 Linear regression Generalized linear model Principal component analysis Least squares Partial least squares regression Degrees of freedom Dummy variable Instrumental variable Simultaneous equations model Statistics Regression analysis Econometrics
157	Bypassing Synthesis: PLS for Face Recognition with Pose, Low-Resolution and Sketch Abhishek Sharma Institute of Advanced Computer Science University of Maryland, USA Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2011-05-24 13:26:39 Singular value decomposition Functional analysis Matrix theory Abstract algebra Partial least squares regression Eigenface Projection Eigenvalues and eigenvectors Kernel Algebra Mathematics Linear algebra
158	FIT Analysis Commands FIT PURPOSE Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2013-11-27 15:29:35 Partial regression plot Partial residual plot Partial leverage Ordinary least squares Robust regression Linear regression Linear least squares Studentized residual Least squares Statistics Regression analysis Regression diagnostics
159	A Short Introduction to the caret Package Max Kuhn [removed] August 24, 2014 The caret package (short for classification and regression training) contains functions to streamline Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-24 17:07:44 Monte Carlo methods Computational statistics Machine learning Bootstrapping Resampling Receiver operating characteristic Training set Partial least squares regression Statistics Statistical inference Data analysis
160	New Statistical Techniques for Predictive Water Quality Modeling at Great Lakes Beaches Michael N. Fienen1 Wesley R. Brooks1 Steven R. Corsi1 Add to Reading List Source URL: www.in.gov Language: English - Date: 2014-08-07 00:22:49 Partial least squares regression Least squares Ordinary least squares Overfitting Gain Chemometrics Statistics Regression analysis Linear regression

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