- using R version 4.5.2 Patched (2026-01-31 r89382)
- using platform: aarch64-apple-darwin20
- R was compiled by
Apple clang version 16.0.0 (clang-1600.0.26.6)
GNU Fortran (GCC) 14.2.0
- running under: macOS Ventura 13.7.8
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- checking for file ‘pcreg/DESCRIPTION’ ... OK
- checking extension type ... Package
- this is package ‘pcreg’ version ‘0.1.0’
- package encoding: UTF-8
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- checking whether package ‘pcreg’ can be installed ... [2s/3s] OK
See the install log for details.
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- checking DESCRIPTION meta-information ... OK
- checking top-level files ... OK
- checking for left-over files ... OK
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- checking R files for syntax errors ... OK
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- checking whether the package can be unloaded cleanly ... [0s/0s] OK
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- checking S3 generic/method consistency ... OK
- checking replacement functions ... OK
- checking foreign function calls ... OK
- checking R code for possible problems ... [1s/1s] OK
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- checking for missing documentation entries ... OK
- checking for code/documentation mismatches ... OK
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- checking Rd contents ... OK
- checking for unstated dependencies in examples ... OK
- checking examples ... [1s/1s] ERROR
Running examples in ‘pcreg-Ex.R’ failed
The error most likely occurred in:
> ### Name: robust_pcreg
> ### Title: Robust Principal Component Regression (Robust PCR)
> ### Aliases: robust_pcreg
>
> ### ** Examples
>
> data(mtcars)
> Result <- robust_pcreg(mtcars, y = "mpg")
Warning in robustbase::covMcd(X) :
The covariance matrix has become singular during
the iterations of the MCD algorithm.
There are 0 observations (in the entire dataset of 32 obs.) lying on
the hyperplane with equation a_1*(x_i1 - m_1) + ... + a_p*(x_ip - m_p)
= 0 with (m_1, ..., m_p) the mean of these observations and
coefficients a_i from the vector a <- c(-0.3333333, 0, 0, 0, 0, 0,
-0.6666667, -0.6666667, 0, 0)
Error in eigen(mcd$cov, symmetric = TRUE) :
infinite or missing values in 'x'
Calls: robust_pcreg -> eigen
Execution halted
- checking PDF version of manual ... [2s/2s] OK
- DONE
Status: 1 ERROR
- using check arguments '--no-clean-on-error '