search for: plsdata

Displaying 5 results from an estimated 5 matches for "plsdata".

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2011 May 13
1
PLSR error
Hi, this is my R-Script library(pls) file <- "C:\\TXT\\brix.txt" d <- as.matrix(read.table(file, header=T, sep=",", row.names = NULL)) plsdata <- data.frame(NIR=c(1:nrow(X))) plsdata$NIR <- I(d[,3:603]) plsdata$Brix <- d[,2] results <- plsr(Brix ~ NIR, data=plsdata) after the last string i have this error > results <- plsr(Brix ~ NIR, data=plsdata) Error in `[[<-.data.frame`(`*tmp*`, i, value = c(302053L, 305882L, 2...
2011 May 18
1
Help with Memory Problems (cannot allocate vector of size)
While doing pls I found the following problem > BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, jackknife = >FALSE, validation = "LOO") when not enabling jackknife the command works fine, but when trying to enable jackknife i get the following error. >BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, jackknife = >TRUE, validation = "LOO&quo...
2007 Oct 16
1
data structure for plsr
All, I am working with NIR spectral data and it was great to find that the example in ?plsr also used spectral data. Unfortunately, I am having difficulty figuring out how the "yarn" dataset is structured to allow for the plsr model to read: library(pls) data(yard) yarn.oscorespls <- mvr(density ~ NIR, 6, data = yarn, validation = "CV", method = "oscorespls")
2011 May 17
1
Help with PLSR with jack knife
...most significant peptides). I beleive that PLS with jack knifing, or alternativeley CMV(cross-model-validation) are multivariateThe 40 samples belong to four different groups. I have managed to conduct the plsr using the commands: BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, validation = "LOO") and BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, validation = "CV") I have also used the following command to obtain the loadings BHPLS1_Loadings <- loadings(BHPLS1) Now I am unsure of how to utilise these to identify the s...
2011 May 17
1
help with PLSR Loadings
...quot; "Comp 4" ... - attr(*, "explvar")= Named num [1:10] 14.57 6.62 7.59 5.91 3.26 ... ..- attr(*, "names")= chr [1:10] "Comp 1" "Comp 2" "Comp 3" "Comp 4" ... Here is the structure of teh data used to conduct plsr >str(PLSdata) 'data.frame': 40 obs. of 2 variables: $ GroupingList: int 1 1 1 1 1 1 1 1 1 1 ... $ PCIList : AsIs [1:40, 1:94727] 42.01749.... 40.85915.... 65.01948.... 55.98204.... 61.71673.... ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr "X" "X.1" &qu...