Whenever possible I use LOCAL Models because they are quite easy to maintain. These are routine samples analyzed with the reference methods and plotted versus the predicted values. The statistics performs well and were into the error limits expected when the LOCAL Model was laoded for routine. There are small slope shifts, but these validation samples will be included in the database to improve the model and make it more robust.
User also analyzed some special pet-food samples which have much more moisture (red crosses) and we can se how the moisture performs well, but with a high bias.
Statistics for Ash (Cenizas)
Samples used for Statistics 81
Statistics for Protein (Proteína)
Samples used for Statistics 98
Statistics for Fat (Grasa)
Samples used for Statistics 83
Statistics for Moisture (Humedad)
Without red ones
Samples used for Statistics 116
If you are interested in LOCAL Models you can click on the LOCAL label, to see other posts like:
Studing structure in LOCAL for validation
LOCAL: Batch Mode to select Max Number of Samples
LOCAL: Creating the RED files