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In older versions of the software this algorithm was more efficient for data tables with many more columns than rows. The other algorithms have now caught up with it in terms of speed, and Wide-kernel PLS might be removed in a future version.…

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This is usually because there are missing values in the selected data. While the NIPALS algorithm handles this by imputing the missing values automatically, the SVD and Kernel-options require non-missing data. Missing values can be imputed using Tasks – Transform – Fill Missing before modelling …

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The external PerkinElmer libraries are sometimes prevented from running due to Windows’ User Account Control settings. Often the issue will be solved by running Unscrambler with administrator rights. Alternatively, you can try copying the PerkinElmer libraries from “C:\ProgramFiles(x86)\CommonFi…

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Because the outlier detection and reporting have undergone changes since earlier versions, the Outlier Warnings and Outlier List nodes have become obsolete since version 10.4. Whenever a model containing these nodes is opened or imported, these nodes will be deleted from the models with a warning. R…

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In older versions of Unscrambler there was no requirement of existing or unique headers, and relative indexes were used when mapping different matrices (e.g. for sample grouping). Due to feedback that this was too sensitive for user errors, unique headers was introduced in order to link observations…

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