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Hello, I have an ordinary linear regression model. for example y~x1+x2+x3; I need to compute "the percentage of variance explained by each covariate". can anyone tell me how I can compute it in R? thanks so much, ms --------------------------------- [[alternative HTML version deleted]]

...ce (8) in: LMEopt(x = mer, value = cv) 3: nlminb returned message false convergence (8) in: LMEopt(x = mer, value = cv) I tried to increase maximum iteration limit by adding control=list(msMaxIter=600, maxIter=300, PQLmaxIt=100) That seems not help. What can I do next? Thanks all! Mingyu Feng ================================================================================ Department of Computer Science Tutoring Research Group Worcester Polytechnic Institute

Hello there, I am using nlme() to fit a logistic mixed effect model on our data. The outcome variable is binary. I got the error when I wanted to add a group factor to my model. My initial model is as below: model.a <- nlme(response~ 1/(1 + exp( -intercept- u0 - slope*TIME - u1*TIME)), + fixed=intercept+slope~1, random= u0+u1~1 |studentID,