query: regression with constraints on coefficients in R returns bad results
positive_passages.docid: 142074
positive_passages.text: Solving linear regression with weights and constraints
negative_passages.docid: 59668
negative_passages.text: Regression coefficients that flip sign after including other predictors
negative_passages.docid: 40925
negative_passages.text: How to perform regression with different error variances
negative_passages.docid: 120925
negative_passages.text: Linear regression with strongly non-normal response variable
negative_passages.docid: 133443
negative_passages.text: Removing constant from the regression model
negative_passages.docid: 84435
negative_passages.text: Testing whether two regression coefficients are significantly different (in R ideally)
negative_passages.docid: 92501
negative_passages.text: Fitting simple linear regression with no intercept
negative_passages.docid: 157430
negative_passages.text: In multiple regression, a coefficient gets opposite sign in subsample than in the full sample
negative_passages.docid: 57271
negative_passages.text: Testing equality of coefficients from two different regressions
negative_passages.docid: 126563
negative_passages.text: r predict function returning too many values
negative_passages.docid: 120489
negative_passages.text: Testing linear restriction in R
negative_passages.docid: 33823
negative_passages.text: Forcing smoothness of regression coefficients
negative_passages.docid: 84693
negative_passages.text: Interpreting linear regression with NA for estimates
negative_passages.docid: 115747
negative_passages.text: How can I calculate the R-squared of a regression with arima errors using R?
negative_passages.docid: 59695
negative_passages.text: How to force R to use a specified factor level as reference in a regression?
negative_passages.docid: 63498
negative_passages.text: How to split r-squared between predictor variables in multiple regression?
negative_passages.docid: 10967
negative_passages.text: Why is sum of squared residuals non-increasing when adding explanatory variable?