query: Can Simple Multiple Regression be applied when you have a Training Set where the number of features is greater than the number of examples?
positive_passages.docid: 148679
positive_passages.text: Modelling with more variables than data points
negative_passages.docid: 126601
negative_passages.text: Does simple linear regression imply causation?
negative_passages.docid: 17773
negative_passages.text: Why is polynomial regression considered a special case of multiple linear regression?
negative_passages.docid: 90647
negative_passages.text: Is it possible to append training data to existing SVM models?
negative_passages.docid: 153314
negative_passages.text: Multiple Regression, Normal distribution and Normalization
negative_passages.docid: 5026
negative_passages.text: Can I use multiple regression when I have mixed categorical and continuous predictors?
negative_passages.docid: 15668
negative_passages.text: Are numerical variables must for random forest algorithm?
negative_passages.docid: 142784
negative_passages.text: For linear classifiers, do larger coefficients imply more important features?
negative_passages.docid: 155450
negative_passages.text: Neural Network: MLP for regression with 3 continuous features, 1 categorical
negative_passages.docid: 1348
negative_passages.text: Is there a difference between 'controlling for' and 'ignoring' other variables in multiple regression?
negative_passages.docid: 89583
negative_passages.text: Transforming variables for multiple regression in R
negative_passages.docid: 94732
negative_passages.text: Why do neural networks need so many training examples to perform?
negative_passages.docid: 3261
negative_passages.text: How to do a regression of a series of variables without typing each variable name
negative_passages.docid: 54879
negative_passages.text: Using x to predict y when they are highly correlated
negative_passages.docid: 21500
negative_passages.text: Multiple regression or partial correlation coefficient? And relations between the two
negative_passages.docid: 24634
negative_passages.text: What is the difference between classification and regression?
negative_passages.docid: 26034
negative_passages.text: Choosing variables to include in a multiple linear regression model