similar to: pls in r

Hello, I need help with a partial least square regression in R. I have read both the vignette and the post on R bloggers but it is hard to figure out how to do it. Here is the script I wrote: library(pls) plsrcue<- plsr(cue~fb+cn+n+ph+fung+bact+resp, data = cue, ncomp=7, na.action = NULL, method = "kernelpls", scale=FALSE, validation = "LOO", model = TRUE, x = FALSE, y =

hi R help group, I have installed PLS package in R and use it for princomp & prcomp commands for calculating PCA using its example file(USArrests example). But How I can use PLS for Partial least square, R square, mvrCv one more think how i can import external file in R. When I use plsr, R2, RMSEP it show error could not find function plsr, RMSEP etc. How I can calculate PLS, R2, RMSEP, PCR,

Version 1.2-0 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 1.2-0 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

Hi, I want to calculate PLS package in R. Now I want to calculate R, MSEP, RMSEP and R2 of PLSR and PCR using this. I also add this in library of R. How I can calculate R, MSEP, RMSEP and R2 of PLSR and PCR in R. I s any other method then please also suggest me. Simply I want to calculate these value. Thanking you. -- Nitish Kumar Mishra Junior Research Fellow BIC, IMTECH, Chandigarh, India

Hi, I work with hyperspectral remote sensing data and I try to built a pls model with this data. I already built the model but if I try to calculate the RMSEP and R2 with a test data set I get the following error message: Error: variable 'subX' was fitted with type "nmatrix.501" but type "nmatrix.73" was supplied The problem is that I don't get the message for

Hi, I would like to read a spss file in R. When i type read.spss("...") Comes the error: couldn't find function "read.spss" What shall i do? Margarida [[alternative HTML version deleted]]

hi again, i still cannot open the file in spss :( i type: library(foreign) read.spss("H:\\Desktop\\bd1\\experiencia1") and the error comes: Error in read.spss("H:\\Desktop\\bd1\\experiencia1") : unable to open file can you help me? margarida,portugal

hi, i can?t download a file in access. when i type: > library(foreign) > read.spss("H:\Desktop\bd1\experiencia1") comes the error: Error in read.spss("H:Desktop\bd1experiencia1") : unable to open file do you know what is the problem? can you help me? margarida,porto,portugal

Hello, I??m trying to read data from a text file but i can??t When i print: > a<-read.table(file="C:/dados10.txt") The next error appears: Error in file(file, "r") : unable to open connection In addition: Warning message: cannot open file `C:/dados10.txt' Can you help me? Margarida PS:The operating sistem i??m using is Unix

Hi, I have a data base in oracle and need to link R using ODBC. When i use the command odbcConnect a dsn is needed. I would like to create a dsn.Do you know how can i do it? Thank you. Margarida,Portugal

Margarida Soares <margaridapmsoares at gmail.com> writes: > Thanks for your reply on pls! > I have tried to do a correlation plot but I get the following group of > graphs. Any way of having only 1 plot? > This is my script: > > corrplot(plsrcue1, comp = 1:4, radii = c(sqrt(1/2), 1), identify = FALSE, > type = "p" ) "Correlation loadings" are the

Hi R-listers, I would like to know how can i extract component no. when the RMSEP is lowest? Currently, I only plot it manually and then only feed the ncomp to the jack knife command. However, I would like to automate this step. Please let me know. Many thanks. Rgrds, [[alternative HTML version deleted]]

Hi, I would like to do a MannWitney test. Can anyone help me with the propper command? Thanks, Margarida

Dear R-users, dear Ron I use pls from the pls.pcr package for classification. Since I need to know which variables are most influential onto the classification performance, what criteria shall I look at: a) B, the array of regression coefficients for a certain model (means a certain number of latent variables) (and: squared or absolute values?) OR b) the weight matrix RR (or R in the De

Dear R guru's, I'd like to sort the columns of a matrix according to the elements in the first row, and in case of a tie according to the second row, etc. In case of a 3xn matrix woppa, something like colorder _ order(woppa[1,], woppa[2,], woppa[3,]) I just cannot seem to find a way to do this for a variable number of rows, e.g. if woppa has 10 or 15 rows I now manually cut and paste to

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Hello, Is the first time I am using SNOW package and I am trying to tune the cost parameter for a linear SVM, where the cost (variable cost1) takes 10 values between 0.5 and 30. I have a large dataset and a pc which is not very powerful, so I need to tune the parameters using both CPUs of the pc. Somehow I cannot manage to do it. It seems that both CPUs are fitting the model for the same values

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]]

Dear R-help users, I'd like to use the R-package "pls" and want to extract the explained Y-variance to identify the important (PLS-) principal components in my model, related to the y-data. For explained X-variance there is a function: "explvar()". If I understand it right, the summary() function gives an overview, where the y-variance is shown, but I can't