List of Statistical analysis products
- classification：Statistical analysis
1～15 item / All 20 items
Reduce the workload from handling heavy objects! Here are five case studies that solved customer challenges! We are also accepting free consultations and tests tailored to your work!
- Other conveying machines
Presentation of explanatory materials on JIS and ISO standards. We propose suitable safety barriers from a rich product series! Free rental of demo kits.
- Other safety and hygiene products
Optimize agricultural yield and quality with DoE.
- Statistical analysis
- Other analyses
- Other production and development software and systems
Optimizing bioprocesses with DoE
- Statistical analysis
- Other analyses
- Other production and development software and systems
Streamline quality management! Achieve multivariate analysis with a click operation.
- Other analysis software
- Statistical analysis
A long-selling product of multivariate analysis! Analysis can be done with just a click.
- Other analysis software
- Statistical analysis
Efficient detection of foreign substances in food using multivariate analysis!
- Other analysis software
- Statistical analysis
Analyze sensory evaluation data with a click! Supporting quality improvement.
- Other analysis software
- Statistical analysis
Standard tools for graph creation and data analysis.
- Statistical analysis
- Visualization
- Other analyses
The definitive multivariate analysis software. No command operation required, analysis can be done with just a click!!
- Other analysis software
- Statistical analysis
2/16 Event: "Multivariate Analysis Software: SIMCA" Regression Model OPLS Webinar
On February 16th (15:00–15:30), we will hold an advanced webinar on "Multivariate Analysis Software: SIMCA" focusing on regression models (OPLS). SIMCA is a multivariate analysis software that is well-regarded in research, development, and manufacturing for its capabilities in overview, regression, discrimination, and classification. In this webinar, we will focus on 'Regression: OPLS' and include short demonstrations and case studies (three examples are planned). ● OPLS: Orthogonal Partial Least Squares An advanced model of PLS. By rotating so that the Y variable becomes the first axis, it facilitates interpretation and allows for prediction of the target variable and factor analysis. Example of OPLS usage: * Set the coffee quality evaluation score as the target variable and find the factors that contribute most from the metabolic profile's GC/MS data, aiming to predict the quality evaluation score. * While PLS was able to identify the most contributing factors, it was difficult to determine the second and third contributing factors, which could be found using OPLS. * Participation from competitors in the same industry is not allowed. * Please install the latest version of ZOOM.
Connecting Healthcare Professionals, Patients, and Daily Life: LiNQPad
- Other IT tools
- Visualization
- Statistical analysis
We are assisting everyone in improving productivity, including tasks such as report preparation, across various fields!
- 2D Code Reader
- Document and Data Management
- Statistical analysis
The definitive version of DoE - Improving and optimizing manufacturing conditions.
- Statistical analysis
- Other analyses
- Other production and development software and systems
9/10 Free Webinar "Mass Spectrometry Data Processing with AnalyzerPro XD"
AnalyzerPro XD is a data processing software for GC/MS and LC/MS that supports data formats from major mass spectrometry (MS) manufacturers. It is widely used to enhance the efficiency of analytical tasks in research and development as well as manufacturing. 1. Reading major MS data 2. Extraction of component spectra through deconvolution 3. Library search in NIST format 4. Comprehensive non-target analysis 5. Creation and utilization of target libraries 6. Alignment of multiple samples 7. Visualization and feature component exploration through statistical and multivariate analysis 8. Data processing for 2D chromatographic MS and direct MS (optional) In this webinar, we will introduce an overview of AnalyzerPro XD and demonstrate the processing of GC/MS data from food samples, showing how to quickly and easily visualize information from complex sample data to aid in decision-making. Participation is free. Please feel free to join us.
The definitive version of MSPC!
- Process Analysis Software
- Other process controls
- Statistical analysis
Webinar on "Multivariate Analysis Software: SIMCA" Regression Model OPLS held on September 26
An advanced webinar on "Multivariate Analysis Software: SIMCA" (Regression Model OPLS) will be held on September 26, 2025, from 15:00 to 15:30. SIMCA is a multivariate analysis software that is well-regarded in fields handling large data sets, offering features for overview, regression, discrimination, and classification. In this webinar, we will focus on 'Regression: OPLS' and include short demonstrations and case studies (three are planned). ● OPLS: Orthogonal Partial Least Squares A superior model to PLS. By rotating so that the Y variable becomes the first axis, interpretation is made easier. This model allows for the prediction of target variables and factor analysis. Example of OPLS usage: * Set the coffee quality evaluation score as the target variable, find the factors that contribute most from the metabolic profile GC/MS data, and further predict the quality evaluation score from the GC/MS data. * While PLS was able to identify the most contributing factors, determining the second and third most contributing factors was difficult. In contrast, OPLS made this identification easy.
From MS data deconvolution to multivariate analysis!
- Mass Spectrometer
- Data Mining
- Statistical analysis
Notice of Participation in the 19th Metabolome Symposium
We will be exhibiting at the 19th Metabolome Symposium. Please be sure to stop by our booth when you attend.
Examples include principal component analysis, factor analysis, and cluster analysis!
- others
- Statistical analysis
A method to explain the correlation relationships from data with many variables using a few fewer variables!
- others
- Statistical analysis