query: How to build a model with a continuous response variable bounded from 0 to 1?
positive_passages.docid: 47974
positive_passages.text: Regression for an outcome (ratio or fraction) between 0 and 1
negative_passages.docid: 140116
negative_passages.text: NonLinearFit with data
negative_passages.docid: 24036
negative_passages.text: extended stars-and-bars problem(where the upper limit of the variable is bounded)
negative_passages.docid: 83046
negative_passages.text: A linear map, continuous at zero, is bounded
negative_passages.docid: 94881
negative_passages.text: How to typeset asymmetrical confidence level limits / uncertainties?
negative_passages.docid: 2138
negative_passages.text: Modelling when the dependent variable has a "cut-off"
negative_passages.docid: 114028
negative_passages.text: Obtaining predicted values (Y=1 or 0) from a logistic regression model fit
negative_passages.docid: 141248
negative_passages.text: Pick a prior for my bayesian generalised linear model with binary outcomes
negative_passages.docid: 35824
negative_passages.text: How can i reduce the linear fit plot to a certain interval?
negative_passages.docid: 64786
negative_passages.text: How can I linearize the IFF-THEN constraint with binary and continuous variable?
negative_passages.docid: 110323
negative_passages.text: bounded predictor variable modeling constraint
negative_passages.docid: 147544
negative_passages.text: Continuous dependent variable with ordinal independent variable
negative_passages.docid: 139196
negative_passages.text: Is there a way to 'compress' an lm() object for later prediction?
negative_passages.docid: 148679
negative_passages.text: Modelling with more variables than data points
negative_passages.docid: 15444
negative_passages.text: Linear Regression with individual constraints in R
negative_passages.docid: 68045
negative_passages.text: Explicit solution for linear regression with two predictors
negative_passages.docid: 102505
negative_passages.text: Expected number of (0,1) distributed continuous random variables required to sum upto 1