similar to: Partial least squares.

Friends, Is there a Partial Least Squares package implemented in R? Thanks, Lana [[alternative HTML version deleted]]

Dear R-users, I am faced with the problem of analyzing a huge dataset (+ 2 million records, +150 variables) which does not fit into memory. I would like to know if there are pre-packaged tools (in the spirit of Insigthful I-Miner, for instance) aimed at subsampling or splitting the dataset into data-frameable subdatasets, applying functions record-wise, etc. Thank you very much for your

Dear r-helpers, I have been trying to invoke R from Java in a Windows 2000 computer (unfortunately). All my environment variables seem to be properly set, everything seems to be in order, but I obtaining a Fatal error: unable to open the base package error window. Also, the output of the invoker is Loading RInterpreter library R_HOME: R_HOME=C:/Programas/R RVersion: R_VERSION=1.6.1 whereas

Hello i need some precision about nipals in the chemometrics package in R . When i use nipals in chemometrics i obtain T and P matrix. I really don't understand what to do with these two matrix to obtain the scores for every the component (like in spss fo example) Comp1 Comp2 Comp3 quest1 0,8434 0,54333 0,3466 quest2 0,665 0,7655 0,433 Thank you very

Dear R helpers, It is the first time I have to install R under Linux (Red Hat 9) and as I was setting up the panels, I could not find any png icon to launch the program. Does it exist and I have overlooked it? Can I get it somewhere? Carlos J. Gil Bellosta Sigma Consultores Estad?sticos http://www.consultoresestadisticos.com

Hi everybody! Is there any package or functions to make Partial Least Squares analysis with R? Thanks a lot Luis -------------------------------------------- sapo.pt/kitadsl -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Dear list members; The code given below corresponds to the PCA-NIPALS (principal component analysis) algorithm adapted from the nipals function in the package chemometrics. The reason for using NIPALS instead of SVD is the ability of this algorithm to handle missing values, but that's a different story. I've been trying to find a way to improve (if possible) the efficiency of the code,

Hi all, I would like to do some QSAR analysis (quantitative structure activity relationship). I need to use some Partial Least Squares (PLS) regression, but I have not seen this option on the R-project. Is it possible to do this kind of regression on R? thank you in advance best regards, olivier [[alternate HTML version deleted]]

Hello, I have a concrete statistical question: I have a sample of an univariate mixture of an unknown number (k) of normal distributions, each time with an unknown mean `m_i' and a standard deviation `k * m_i', where k is known factor constant for all the normal distributions. (The `i' is a subscript.) Is there a function in R that can estimate the number of normal distributions k

Hi all, I've been trying to figure out how to superimpose a histogram on a biplot that shows the relative contribution of each axis. I have been using the NIPALS function (http://biomserv.univ-lyon1.fr/~dray/ files/softwares/nipals.R) to run principal component analyses. Here is a toy example. source("http://biomserv.univ-lyon1.fr/~dray/files/softwares/nipals.R")

I've been using the pcaMethods to develop a scores matrix ======================================= data(iris) pcIr <- pca(iris[,1:4], method="nipals", nPcs=3, cv="q2") test <- scores(pcIr) ======================================== What I'm looking to do is to use lattice's barchart to plot the scores something like below, but expanded to all the scores

When I originally posted my question under ( C-c C-c does not kill data editor), I thought that it was a problem with ESS rather than R. However, I have tried to do the same from a command line R (R 1.8.1 (2003-11-21). on a debian testing i386 machine) and I got the same problem. Specifically I cannot kill the DataEntryWindow by issuing C-c (control c). However, unless I issue the C-c command the

This problem is not limited to R, but R is one of the packages in which it arises. princomp is a nice function which creates an object for which inspection methods have been written. Unfortunately, princomp does not admit cases in which the x matrix is wider than high (i. e. more variables than observations). Such cases are typical in spectroscopy and related disciplines. It would be nice if the

Am I correct to understand from the previous discussions on this topic (a few years back) that if I have a matrix with missing values my PCA options seem dismal if: (1) I don’t want to impute the missing values. (2) I don’t want to completely remove cases with missing values. (3) I do cov() with use=”pairwise.complete.obs”, as this produces negative eigenvalues (which it has in

Hello, I have a matrix with 267 columns, all rows of which have at least one column missing (NA). All three methods i've tried (pcs, princomp, and prcomp) fail with either "Error in svd(zsmall) : infinite or missing values in 'x'" (latter two) or "Error in cov.wt(z) : 'x' must contain finite values only" The last one happens because of the check if

Today I decided to reintall Ubuntu on my PC, going from Lucid Linx 32 bit to a clean install of the 64 bit version.. I'm a huge fan of casual games, and now I have a number of problems with them. At first I could get NOTHING to work, after a couple of tries I finally get something to work, I can have Braid working, but I can't seem to make Plat versus Zombies work, I managed to make

Hi, I have tried unsuccesfully to limit my ftp server send speed in linux. I have an ipcop linux firewall/router with 2 nics. 1 nic (eth1) is connected to a 3mbit/384Kbit cable connection and the other (eth0) a switch. Behind it i have a suse linux box and a windows box. On the suse box i run proftpd. I need to shape my passive ftp send speed to 34KBytes because if it is maxed out at 45K

Dear all: I am comparing the PLS outputs of R and SAS for the following data set: Y x1 x2 x3 3 6 2 2 3 1 5 5 4 7 4 1 5 6 5 6 2 4 3 2 8 5 0 9 where Y is the dependent variable and x1, x2, x3 are the independent variables. I found several PLS algorithms in R (NIPALS,SIMPLS,KERNEL PLS). SAS has SIMPLS and NIPALS. The following are the NIPALS calculations of

de Jong, S. (1993) SIMPLS: an alternative approach to partial least squares regression. Chemometrics and Intelligent Laboratory Systems, 18, 251?263 Thanks

Hi Ignacio, I'm running Centos 4.2 on some machines and just wonder which is the correct procedure to build one of your packages i've fonund in the fedora.ivazquez.net for FC4 but for CentOs for kernel-modules: http://fedora.ivazquez.net/yum/4/i386/SRPMS.ivazquez/kernel-module-qc-usb-0.6.3-0.iva.1.src.rpm