C.Kumaravelu (ceekeyvelu)
New member Username: ceekeyvelu
Post Number: 1 Registered: 3-2013
| Posted on Saturday, March 30, 2013 - 9:18 am: | |
Dear all, I am C.Kumaravelu, Principal Scientist, CSIR-CEERI,Chennai, India, is an R&D lab. I am working in the area of Agro-food industry application using NIR spectroscopy and chemometrics. My problem is I am unable to predict my test samples using the developed calibrated PLS model. I did the model using CAMO software Unscrambler with the the data set (X) by 114X2201 (No. of samples X absorption at wavelength from 1100nm to 2100nm) as a one matrix set. Also I added in the 2202nd column as the Discriminate Analysis class and in 2203rd column as its logical value (Y) - (either 0 or 1). Now I have a data set 114X2203, for which I did the PLS calibration model. In order to predict the class of new sample (either 0 or 1), I fed the test sample data set of 34X2201, I am unable to use this data set to predict and getting an error is data dimension error. Could someone help that without DA class and Logical value of test samples, how can I predict the 34 X2201 data set using the 114X2203 PLS calibrated model. Thank you Regards C.Kumaravelu |