【正文】 sion Samples + Excitation ? Emission Samples + Excitation + Emission Rinnan, Riu amp。 Rinnan (2022): LWT, 35, p. 687696 LFNMR Classification Sensory data LFNMR Background Fluorescence LFNMR Correction Classification Regression 2nd order Summary Povlsen, Rinnan, van den Berg, Andersen amp。 Rinnan (2022): LWT, 35, p. 687696 Correction Factors Background Fluorescence LFNMR Correction Classification Regression 2nd order Summary Andersen amp。ller (2022): CehmoLab, 71, p. 97106 Background Fluorescence of Factors Light scatter NaN LFNMR 2nd order Summary Missing values Results Emission None Weighted NonNegativity Zeros Thygesen, Rinnan, Barsberg amp。ller (2022): CehmoLab, 71, p. 97106 Background Fluorescence of Factors Light scatter NaN LFNMR 2nd order Summary Missing values Results Landscapes None Weighted NonNegativity Zeros Thygesen, Rinnan, Barsberg amp。ller (2022): CehmoLab, 71, p. 97106 Background Fluorescence of Factors Light scatter NaN LFNMR 2nd order Summary Missing values Alternatives Missing values Zeros Signal/ Data area Thygesen, Rinnan, Barsberg amp。 Bro Background Fluorescence of Factors Light scatter Band of NaN Modeling NaN LFNMR 2nd order Summary Light scatter Fancy ≠ good Rinnan, Booksh amp。 Andersen (2022) Background Fluorescence of Factors Light scatter Band of NaN Modeling NaN LFNMR 2nd order Summary Light scatter A novel method ? The Rayleigh scatter width has to be estimated quite accurately ? The band width of missing data should also be correct ? What about an automatic method of removing the Rayleigh scatter, that was not so prone to the estimation of the width of the Rayleigh scatter? ? Modeling the Rayleigh is the answer! Background Fluorescence of Factors Light scatter Band of NaN Modeling NaN LFNMR 2nd order Summary Rinnan, Booksh amp。 Andersen (2022) Background Fluorescence of Factors Light scatter Band of NaN Modeling NaN LFNMR 2nd order Summary Light scatter Weighting MILES Emission loadings Excitation loadings Rinnan amp。 Andersen (2022) Background Fluorescence of Factors Light scatter Band of NaN Modeling NaN LFNMR 2nd order Summary Light scatter Sample deposition Rinnan amp。 Bro Background Fluorescence of Factors Light scatter NaN LFNMR 2nd order Summary 81 24 1 0 Number of factors Times estimated of Factors Results Rinnan amp。 Bro Background Fluorescence of Factors Light scatter NaN LFNMR 2nd order Summary of Factors Good vs. Bad Rinnan amp。 Bro of Factors Structure in loadings Rinnan amp。 Engelsen (2022) Magic Resonance in Food Science, 202209 ijkFfkfjfifijk ecbax ?? ?? 1Can be seen as an expansion of PCA from twoway data to multiway data ijFfjfifij eptx ??? 1Background PARAFAC Background