query: SVD in linear regression
positive_passages.docid: 29155
positive_passages.text: Definition of orthogonal matrix
negative_passages.docid: 7328
negative_passages.text: The proof of shrinking coefficients using ridge regression through "spectral decomposition"
negative_passages.docid: 23640
negative_passages.text: Theory behind partial least squares regression
negative_passages.docid: 142496
negative_passages.text: Uniqueness for OLS linear regression
negative_passages.docid: 67090
negative_passages.text: Casting a multivariate linear model as a multiple regression
negative_passages.docid: 124337
negative_passages.text: Degrees of freedom in regression
negative_passages.docid: 138120
negative_passages.text: Linear regression with non-symmetric cost function?
negative_passages.docid: 33305
negative_passages.text: Cost function in OLS linear regression
negative_passages.docid: 116939
negative_passages.text: Co-linearity/Stepwise regression
negative_passages.docid: 6206
negative_passages.text: How does centering make a difference in PCA (for SVD and eigen decomposition)?
negative_passages.docid: 90215
negative_passages.text: Proof/Derivation of Residual Sum of Squares (Based on Introduction to Statistical Learning)
negative_passages.docid: 17765
negative_passages.text: How to use SVD for dimensionality reduction to reduce the number of columns (features) of the data matrix?
negative_passages.docid: 157740
negative_passages.text: Recursive (online) regularised least squares algorithm
negative_passages.docid: 150043
negative_passages.text: How do I use the SVD in collaborative filtering?
negative_passages.docid: 125679
negative_passages.text: Weighted Root Mean Square Error
negative_passages.docid: 46319
negative_passages.text: How to perform orthogonal regression (total least squares) via PCA?
negative_passages.docid: 28567
negative_passages.text: Hat matrix with simple linear regression