Partial least-squares model adaptation by bootstrap resampling

Key Points

• Model adaptation showed a marked increase in accuracy using bootstrap resampling techniques to address data variability.
• The evaluation indicated significant improvements in predictive performance, especially under conditions of model instability.
• Analysis employed bootstrap resampling to enhance the robustness of the partial least-squares modeling approach.
• This technique may enable better handling of data variability in statistical modeling, supporting more accurate outcomes.