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Principal component regression
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181	Working with a response: Beside expression data for N genes on T “conditions” (the X’s), we have one or more other quantities recorded on conditions, say Y’s. Thus the data looks like  X 11 Add to Reading List Source URL: globin.cse.psu.edu Language: English - Date: 2002-04-09 04:14:38 Regression analysis Econometrics Linear discriminant analysis Statistical classification Covariance Principal component analysis Variance Variable Degrees of freedom Statistics Multivariate statistics Data analysis
182	FACTORS AFFECTING IRANIAN STUDENTS’ ACHIEVEMENT IN MATHEMATICS Ali Reza Kiamanesh Teacher Training University, Iran Abstract Add to Reading List Source URL: www.iea.nl Language: English - Date: 2011-08-10 09:26:29 Educational psychology Psychometrics Regression analysis Factor analysis Trends in International Mathematics and Science Study Variance Linear regression Principal component analysis Self-efficacy Statistics Multivariate statistics Data analysis
183	Sankhy¯ a : The Indian Journal of Statistics 2008, Volume 70-A, Part 1, pp[removed]c 2008, Indian Statistical Institute Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2010-04-22 00:53:49 Multivariate statistics Data analysis Estimation theory Linear regression Nonparametric regression Principal component analysis Covariance Variance Least squares Statistics Regression analysis Econometrics
184	Package ‘lga’ July 2, 2014 Version[removed]Date[removed]Title Tools for linear grouping analysis (LGA) Author Justin Harrington Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 12:17:29 Data analysis Econometrics Principal component analysis Singular value decomposition Allometry Orthogonality Degrees of freedom Total least squares Statistics Multivariate statistics Regression analysis
185	Discussion of: Treelets-An adaptive multi-scale basis for sparse unordered data Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2009-03-21 03:22:47 Data analysis Regression analysis Singular value decomposition Principal component analysis Covariance Eigenvalues and eigenvectors Linear regression Factor analysis Matrix Statistics Econometrics Multivariate statistics
186	Neuralnets for Multivariate And Time Series Analysis (NeuMATSA): A User Manual (Version[removed]MATLAB codes for: Nonlinear principal component analysis Nonlinear canonical correlation analysis Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-07-23 02:43:52 Econometrics Computational neuroscience Multivariate statistics Numerical linear algebra Regression analysis Principal component analysis Nonlinear system MATLAB Neural network Statistics Mathematics Science
187	Min-wise hashing for large-scale regression and classification with sparse data arXiv:1308.1269v1 [math.ST] 6 Aug[removed]Rajen D. Shah and Nicolai Meinshausen Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2013-08-22 09:30:09 Ordinary least squares Logistic regression Principal component analysis Dummy variable Tikhonov regularization Matrix Least squares Polynomial regression Statistics Regression analysis Linear regression
188	Manuscript prepared for Nonlin. Processes Geophys. with version 1.3 of the LATEX class copernicus.cls. Date: 18 January 2008 Robust nonlinear canonical correlation analysis: Application to seasonal climate forecasting Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2008-01-18 18:12:13 Multivariate statistics Data analysis Econometrics Correlation and dependence Artificial neural network Principal component analysis Regression analysis Pearson product-moment correlation coefficient Canonical correlation Statistics Covariance and correlation Estimation theory
189	Noname manuscript No. (will be inserted by the editor) Morphologically accurate reduced order modeling of spiking neurons Anthony R. Kellems, Saifon Chaturantabut, Add to Reading List Source URL: www.caam.rice.edu Language: English - Date: 2009-04-15 17:03:00 Functional analysis Control theory Regression analysis Statistical models Linear algebra Singular value decomposition Principal component analysis Discretization State space Mathematics Algebra Statistics
190	Use of Relative Code Churn Measures to Predict System Defect Density Nachiappan Nagappan* Thomas Ball Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2005-01-25 13:13:15 Software testing Mereology Principal component analysis Multicollinearity Source lines of code Linear regression Fault injection Software quality Statistics Regression analysis Econometrics