similar to: pls help

Hi I can use Appleshare to see my Samba shares when the Mac OS9 and the Samba is in the same segment, but when I move my Mac to another segment separated by a Firewall (all ports open), I can't see my Samba shares? Can anyone help me? Best Regards, Fook Sheng __________________________________ Do you Yahoo!? SBC Yahoo! DSL - Now only $29.95 per month! http://sbc.yahoo.com

Dear all, We have redhat 9 linux server configured with samba server. We have share folder in which we have lot of information. We want to all the users from our different branch office to access the samba server and share the information. In the local network we map the samba share folder as a drive. How to do the same in the remote location. Pls guide me. Regards M.Saravanan CCAT LTD 302,

Wow, an old message from 2004 and I'm seeing the same problem across my network presently. http://lists.samba.org/archive/samba/2004-August/091252.html What is interesting is that there were not problems until about 4 weeks ago. At first I thought it might be me and my numerous passwords getting confused, but then my wofes laptop started showing the same symptoms. Both laptops have

Hello samba-list-reader, why is samba v2.0x worse than v1.9.18p10 with respect to NT-authentification with security=server ? I have exactly the same smb.conf on two servers, one running samba v2.04b and the other running samba v1.9.18p10 (Sun Solaris2.6). With v1.9.18p10 everything works fine since months. On the server running v2.0x in about 10% of all NT-authentification-tries (with net use

Greetings, I have been exploring the use of the caret package to conduct some plsda modeling. Previously, I have come across methods that result in a R2 and Q2 for the model. Using the 'iris' data set, I wanted to see if I could accomplish this with the caret package. I use the following code: library(caret) data(iris) #needed to convert to numeric in order to do regression #I

Greetings R users, I have been hoping someone would be familiar with this topic. I understand fully everything on this list is from the good graces of those who wish to help. Thanks to those who have helped in multiple circumstances. However, I wanted to post this question once more. I hope someone will read it and perhaps have some additional insight into what I may be able to do. Thank

Hello! I need help to use the package pls.pcr in R. I installed R in an IRIX 6.5, using the version of R 0.64.1 from sgifreeware(I didn't get to install the newest version using make). I need to use the package pls.pcr and when I give the command: # R R : Copyright 1999, The R Development Core Team Version 0.64.1 (May 8, 1999) R is free software and comes with ABSOLUTELY NO

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Version 2.1-0 of the pls package is now available on CRAN. The pls package implements partial least squares regression (PLSR) and principal component regression (PCR). Features of the package include - Several plsr algorithms: orthogonal scores, kernel pls, wide kernel pls, and simpls - Flexible cross-validation - A formula interface, with traditional methods like predict, coef, plot and

Version 2.1-0 of the pls package is now available on CRAN. The pls package implements partial least squares regression (PLSR) and principal component regression (PCR). Features of the package include - Several plsr algorithms: orthogonal scores, kernel pls, wide kernel pls, and simpls - Flexible cross-validation - A formula interface, with traditional methods like predict, coef, plot and

Hi, I am using R 2.8.1 version on Windows with RGui. I have loaded pls package lattest version (2.1-0). When I try to load this package in R using library(pls) command, the following error message appear: Erreur dans library(pls) : 'pls' n'est pas un package valide -- a-t-il ?t? install? < 2.0.0 ? Could you please help me to solve this problem? Regards Damien -- View this

Dear list, I want to calculate SPE (squared prediction error) in x-space, can someone help? Here are my codes: fit.pls<- plsr(Y~X,data=DAT,ncomp=3,scale=T,method='oscorespls',validation="CV",x= T) actual<-fit.pls$model$X pred<-fit.pls$scores %*% t(fit.pls$loadings) SPE.x<-rowSums((actual-pred)^2) Am I missing something here? Thanks in advance. Stella Sim

I am searching for more recent information about the pls package. It would appear that it is not being maintained (for reasons which are easy to guess and understand). I downloaded the pls package from CRAN. I noticed that it wouldn't work until I changed the name of the file that contains the functions to .path/library/pls/R/pls so that it worked the way other libraries do. I emailed Kjetil

Version 1.0-3 of the pls package is now available on CRAN. The pls package implements partial least squares regression (PLSR) and principal component regression (PCR). Features of the package include - Several plsr algorithms: orthogonal scores, kernel pls and simpls - Flexible cross-validation - A formula interface, with traditional methods like predict, coef, plot and summary - Functions

Version 2.0-0 of the pls package is now available on CRAN. The pls package implements partial least squares regression (PLSR) and principal component regression (PCR). Features of the package include - Several plsr algorithms: orthogonal scores, kernel pls and simpls - Flexible cross-validation - A formula interface, with traditional methods like predict, coef, plot and summary - Functions

Version 2.0-0 of the pls package is now available on CRAN. The pls package implements partial least squares regression (PLSR) and principal component regression (PCR). Features of the package include - Several plsr algorithms: orthogonal scores, kernel pls and simpls - Flexible cross-validation - A formula interface, with traditional methods like predict, coef, plot and summary - Functions

Version 1.0-3 of the pls package is now available on CRAN. The pls package implements partial least squares regression (PLSR) and principal component regression (PCR). Features of the package include - Several plsr algorithms: orthogonal scores, kernel pls and simpls - Flexible cross-validation - A formula interface, with traditional methods like predict, coef, plot and summary - Functions

dear all, I am a new comer to R and statistic. Now I have a little confuse about the package pls. I have to use 5 components to form a model. There are strong relationship between some of the components, which leads to the changes of the sign of each coeficeince, of course this is unwanted when using the normal regression way. So I choose the way of PLS, which is good at solve this kind of

I don't know the details of pls (in the pls.pcr package, I assume), but if you use validation="CV", that says you want to use CV to select the best number of components. Then why would you specify ncomp as well? Andy > From: ryszard.czerminski at pharma.novartis.com > > When I try to use ncomp parameter in pls procedure I get > following error: > > >

Dear list I am using the mvr function of the package pls.pcr to compute PLS resgression using a X matrix of gene expression variables and a Y matrix of medical varaibles. I would like to obtain the R2 (sum of squares captured by the model) and Q2 (proportion of total sum of squares captured in leave-one-out cross validation) of the model. I am not sure if there are specific slots in the