Chemometric analysis of data using “unscrambler x”

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Chemometric analysis of data using “unscrambler x”

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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Orthodontic treatment involves a delicate balance of science and artistry, where precision is paramount for optimal outcomes. Join us for an enlightening presentation as we explore the nuanced concept of the "Envelope of Discrepancy" within the realm of orthodontics. In this session, we'll embark on a comprehensive journey through the challenges and intricacies of managing discrepancies in orthodontic diagnosis and treatment planning. From assessing dental and skeletal irregularities to understanding soft tissue dynamics, we'll dissect the multifaceted nature of discrepancies and their implications for treatment efficacy. Drawing upon the latest research and clinical insights, we'll unveil practical strategies and innovative techniques aimed at optimizing treatment outcomes while minimizing discrepancies. Whether you're a seasoned orthodontist or a budding practitioner, this presentation promises invaluable knowledge and actionable insights to elevate your practice and enhance patient satisfaction.

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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