query: Which variables to keep in my analysis based on loadings from PCA?
positive_passages.docid: 26181
positive_passages.text: Using principal component analysis (PCA) for feature selection
negative_passages.docid: 7518
negative_passages.text: VAR or VECM for a mix of stationary and nonstationary variables
negative_passages.docid: 13787
negative_passages.text: Why log-transforming the data before performing principal component analysis?
negative_passages.docid: 115584
negative_passages.text: Dataset transformation for clustering after PCA
negative_passages.docid: 41608
negative_passages.text: Weighted principal components analysis
negative_passages.docid: 112934
negative_passages.text: Is PCA followed by a rotation (such as varimax) still PCA?
negative_passages.docid: 101622
negative_passages.text: Choosing number of principal components to retain
negative_passages.docid: 107310
negative_passages.text: How do I appropriately examine the dimensionality of binary data?
negative_passages.docid: 84565
negative_passages.text: How to select a subset of variables from my original long list in order to perform logistic regression analysis?
negative_passages.docid: 6590
negative_passages.text: PCA and proportion of variance explained
negative_passages.docid: 71576
negative_passages.text: How to determine variables that make certain cluster different from others?
negative_passages.docid: 7603
negative_passages.text: Relationship between SVD and PCA. How to use SVD to perform PCA?
negative_passages.docid: 85010
negative_passages.text: What're the differences between PCA and autoencoder?
negative_passages.docid: 93145
negative_passages.text: Can I add several additional variables to my principal component regression?
negative_passages.docid: 79786
negative_passages.text: How would PCA help with a k-means clustering analysis?
negative_passages.docid: 156166
negative_passages.text: PCA of non-Gaussian data
negative_passages.docid: 11188
negative_passages.text: Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?