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Principal Components Analysis (PCA) 

• Data Selection Options
• Transpose Rows/Columns
• Assign score plot labels
• Group/Responses
• Preprocessing options
• Preprocessing columns
• Centre Data?
• Log Transform Data?
• Add Offset to Data?
• Scale by SD?
• Pareto Scaling?
• No scaling?
• Preprocessing rows (observations)
• Smooth?
• Moving Average
• Quadratic/Cubic
• Quartic/Quintic
• Window
• Baseline Correct?
• Derivative Order
• Polynomial Order
• Quadratic/Cubic
• Window
• Standardise/Normalise
• Analysis Options
• PCA or PCA Group?
• Number of Components
• Number to display
• Eigenvalues >
• Perform Cross Validation?
• Output results to a datasheet?
• Missing Data Estimating Options
• Maximum number of iterations
• Tolerance level for convergence
• Continue of fail to converge?
• Suppress convergence messages?
• Results Table
• Eigenvalues
• R2
• R2(Cum)
• Charts
• Variance explained by each PC
• PCA scores plot, any X vs Y
• PCA loadings plot, any X vs Y
• Distance to Model, for each sample
• Modelling Power, for each variable

Basic Stats

• Sample Count
• Mean
• Median
• Minimum / Maximum
• Range (Min-Max)
• Lower / Upper Quartile
• Variance
• Standard Deviation
• Standard Error of Mean
• Coefficient of Variation
• Lower/Upper Confidence Interval
• Skewness
• Kurtosis