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Principal component regression
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#	Item
191	Maximum Likelihood Estimation of Intrinsic Dimension Elizaveta Levina Department of Statistics University of Michigan Ann Arbor MI[removed] Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2007-07-25 07:29:15 Statistical inference Data analysis Statistical theory Maximum likelihood Nonlinear dimensionality reduction Principal component analysis Estimator Regression analysis Correlation dimension Statistics Estimation theory Multivariate statistics
192	Package ‘yacca’ November 2, 2008 Type Package Title Yet Another Canonical Correlation Analysis Package Version 1.0 Date[removed] Add to Reading List Source URL: erzuli.ss.uci.edu Language: English - Date: 2008-11-13 22:57:32 Data analysis Regression analysis Probability theory Canonical correlation Correlation and dependence Variance Principal component analysis Pearson product-moment correlation coefficient Canonical analysis Statistics Covariance and correlation Multivariate statistics
193	Regression on Manifolds Using Kernel Dimension Reduction Jens Nilsson Centre for Mathematical Sciences, Lund University, Box 118, SE[removed]Lund, Sweden Fei Sha Computer Science Division, University of California, Berke Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:01 Multivariate statistics Nonlinear dimensionality reduction Dimension reduction Principal component analysis Sufficient dimension reduction Manifold Eigenvalues and eigenvectors Projection Linear discriminant analysis Statistics Mathematics Algebra
194	Unsupervised Kernel Dimension Reduction Meihong Wang Dept. of Computer Science U. of Southern California Los Angeles, CA 90089 Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:02 Dimension reduction Nonlinear dimensionality reduction Kernel principal component analysis Principal component analysis Supervised learning Sliced inverse regression Sufficient dimension reduction Gaussian function Projection Statistics Mathematics Multivariate statistics
195	Nonlinear principal component 1 Nonlinear principal component analysis of noisy data Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2007-04-06 13:34:46 Data analysis Dynamical systems Dimension reduction Principal component analysis Nonlinear regression Mean squared error Nonlinear system Regression analysis Self-organizing map Statistics Multivariate statistics Neural networks
196	The pcaMethods Package Wolfram Stacklies and Henning Redestig CAS-MPG Partner Institute for Computational Biology (PICB) Shanghai, P.R. China and Max Planck Institute for Molecular Plant Physiology Add to Reading List Source URL: www.bioconductor.org Language: English - Date: 2014-10-13 20:48:32 Multivariate statistics Singular value decomposition Regression analysis Missing data Principal component analysis Least squares Linear regression Expectation–maximization algorithm Imputation Statistics Algebra Data analysis
197	SILVA FENNICA Silva Fennica[removed]research articles www.metla.fi/silvafennica · ISSN[removed]The Finnish Society of Forest Science · The Finnish Forest Research Institute Add to Reading List Source URL: www.silvafennica.fi Language: English - Date: 2013-05-06 07:20:58 Linear regression Principal component regression Ordinary least squares Structural equation modeling Outline of regression analysis Moderation Statistics Regression analysis Partial least squares regression
198	Simulations for Sharpening Wald-type Inference in Robust Regression for Small Samples Manuel Koller April 30, 2014 Contents Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-11-18 13:54:18 Estimation theory Parametric statistics Hypothesis testing Normal distribution Variance Ordinary least squares Standard deviation Linear regression Principal component analysis Statistics Data analysis Regression analysis
199	Thermodynamic product retrieval methodology and validation for NAST-I Daniel K. Zhou, William L. Smith, Jun Li, Hugh B. Howell, Greg W. Cantwell, Allen M. Larar, Robert O. Knuteson, David C. Tobin, Henry E. Revercomb, an Add to Reading List Source URL: www.goes-r.gov Language: English - Date: 2013-06-18 13:45:57 Econometrics Estimation theory Data analysis Atmospheric sounding Linear regression Atmospheric radiative transfer codes Principal component analysis Radiosonde Regression dilution Statistics Regression analysis Atmospheric thermodynamics
200	Predicting Turbulence using Partial Least Squares Regression and an Artificial Neural Network Valliappa Lakshmanan1,2∗ Abstract We employ partial least squares regression to transform the input data into Add to Reading List Source URL: cimms.ou.edu Language: English - Date: 2009-11-20 14:27:32 Computational neuroscience Machine learning Econometrics Artificial neural network Overfitting Principal component analysis Linear regression Artificial neuron Training set Statistics Neural networks Regression analysis

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