search for: linearregress

.... Also tried in MacOSX, and no success too. _____ De: Ndoye Souleymane [mailto:ndoye_p@hotmail.com] Enviado el: miércoles, 05 de diciembre de 2007 13:38 Para: bady@univ-lyon1.fr; Florencio González CC: r-help@stat.math.ethz.ch Asunto: RE: [R] confidence intervals for y predicted in non linearregression Hi, Salut, You should use the package nsl2 (only for Linux distribution) Vous pouvez utiliser le package nls2 (Linux seulement) Regards, Souleymane > Date: Tue, 4 Dec 2007 16:07:57 +0100 > From: bady@univ-lyon1.fr > To: florencio.gonzalez@GI.IEO.ES > CC: r-help@stat.math.e...

...ion. some time i'm getting the error Error in dim(data) <- dim : attempt to set an attribute on NULL. But when i restart my R studio, then it runs. Please help to resolve this problem. My code looks like dataset <- read.csv("C:/data/data1.csv") formula12= "Y~X1+X2" LinearRegression <- lm(formula=formula12,data=dataset, singular.ok=TRUE) vif(LinearRegression) Please help me to solve this issue -- View this message in context: http://r.789695.n4.nabble.com/Error-in-dim-data-dim-attempt-to-set-an-attribute-on-NULL-tp3954811p3954811.html Sent from the R help mailing list...

Hi, I wonder if it is possible to create an DLL or EXE file performing R procedures. Instead of running R, reading data and calling some procedures, I would like to use R functions in the following way: "C:\linearRegression.exe data.txt" which would produce let's say file "output.txt" with the results. Is there some way how to do it? Thanks a lot. Pavel Vanecek ____________________________________________________________ Eurotel Data Nonstop - neomezen? p??stup na internet za 649,- (s DPH 681,45...

Hi, I appreciate it if someone can confirm the maximum number of variables allowed in a multiple linear regression model. Currently, I am looking for a software with the capacity of handling approximately 3,000 variables. I am using Excel to process the results. Any information for processing a matrix from Excel with hundreds to thousands of variables will helpful. Best Regards, Michelle

...for almost all cases, but then errors out on a case that seems like it should work the same. This is the line of code that is giving me the problem: NewClusterData[j,att] <- predict(cl,newdata = ClusterData[j,],type="class") Here is the code for the arguments: algName <- "LinearRegression" Formula <- as.formula(paste(as.name(att), " ~ ", paste(otherAtts, collapse= "+"))) myAlg <- get(algName) cl <- myAlg(Formula, data = Data) And this is the error I'm getting: Error in .jnew("weka/core/Attribute", attname[i]) : java.lang.NoSuchMe...

...9;) call in the tests/testthat.R, which isn't precise enough.) These lines look a bit scary: tests/testthat/bench-KrigingFit.R: pack=list.files(file.path("bindings","R"),pattern = ".tar.gz",full.names = T) install.packages(pack,repos=NULL) tests/testthat/notest-LinearRegression.R: install.packages(pkgs="rlibkriging_0.7-2.tgz", type="source", repos=NULL) library(rlibkriging) I don't think that install.packages does anything besides raising a warning and letting the test continue (there doesn't seem to be any .tar.gz files inside the package...

Thank you for your answer. In facts, 10 threads are asked by armadillo for some LinAlg, which backs to two threads as warned. But I cannot imagine this costs so much time just for that... A deeper analysis of time spent seems to point that a large time was mainly spent on testthat and Rcpp dependencies compilation... But other recent packages depending on these also are not spending so much time.

...f what is causing the > Heteroskedasticity? Yes. But with only a single variable that shouldn't be too hard to do. Also in the Breusch-Pagan test you specify a hypothesized functional form for the variance. > I'm not familiar with FGLS. There is a worked example in demo("Ch-LinearRegression", package = "AER") The corresponding book has some more details. hth, Z > I plan on adding additional > independent variables as I get more comfortable with everything. > >> >>> From my reading on this list, it seems like I need to vcovHC. >> >&...