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Chemometric Analysis of Data
   Using “Unscrambler X”




                                                  Prepared By:
                                        Nishidhkumar M. Patel
                                         nishidh41@gmail.com
         Master of Pharmacy (Pharmaceutical Quality Assurance)
                    The Maharaja Sayajirao University of Baroda
                                              Batch: 2009-2011
Step 1: Select no. of Rows & Columns required for all your data.
Step 2: Write or Copy-Paste your data in sheet generated.
       Manually type title for your data in title boxes.
Step 3: Select the “Analyze” task & method for data analysis
       (e.g. Partial Least Squares Regression).
Step 4: Select “X” & “Y” Predictor values from
calibration/parent data.
Step 5: Various plots for Calibration/Parent Data.
Step 6: Select the “predict” task as per your method for data analysis
        (e.g. Regression for Partial Least Squares Regression).
Step 7: Select only the data to be analysed from Data matrix.
Step 8: View the plots of model “predict”.
Step 9: Select the parameter to see relevant predicted data in table.
Step 10: Select the desired plot to evaluate your data.
Step 11: Outline of all of your data.
Thank you.
               For any query contact
               Nishidhkumar M. Patel
               nishidh41@gmail.com
Master of Pharmacy (Pharmaceutical Quality Assurance)
     The Maharaja Sayajirao University of Baroda
                  Batch: 2009-2011

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Chemometric analysis of data using “unscrambler x”

  • 1. Chemometric Analysis of Data Using “Unscrambler X” Prepared By: Nishidhkumar M. Patel nishidh41@gmail.com Master of Pharmacy (Pharmaceutical Quality Assurance) The Maharaja Sayajirao University of Baroda Batch: 2009-2011
  • 2. Step 1: Select no. of Rows & Columns required for all your data.
  • 3. Step 2: Write or Copy-Paste your data in sheet generated. Manually type title for your data in title boxes.
  • 4. Step 3: Select the “Analyze” task & method for data analysis (e.g. Partial Least Squares Regression).
  • 5. Step 4: Select “X” & “Y” Predictor values from calibration/parent data.
  • 6. Step 5: Various plots for Calibration/Parent Data.
  • 7. Step 6: Select the “predict” task as per your method for data analysis (e.g. Regression for Partial Least Squares Regression).
  • 8. Step 7: Select only the data to be analysed from Data matrix.
  • 9. Step 8: View the plots of model “predict”.
  • 10. Step 9: Select the parameter to see relevant predicted data in table.
  • 11. Step 10: Select the desired plot to evaluate your data.
  • 12. Step 11: Outline of all of your data.
  • 13. Thank you. For any query contact Nishidhkumar M. Patel nishidh41@gmail.com Master of Pharmacy (Pharmaceutical Quality Assurance) The Maharaja Sayajirao University of Baroda Batch: 2009-2011