Principal Component Analysis VAL

In PCA Analysis, a set of variables (denoted by columns) is reduced to a smaller number of factors that account for most of the variance in the variables. This can be useful in reducing the number of variables by converting them to factors, or in gaining insight into the nature of the variables when they are used for further data analysis.

Options

Input Columns: Specifies the name(s) of the column(s) representing the variables used in building a PCA analysis model.
Condition Index Threshold: Specifies the condition index threshold parameter to generate Near Dependency Report.
Gamma: Specifies the gamma value to be set when 'orthomax' or 'orthomin' is used in 'rotation_type' argument.
Group By Columns: Specifies the name(s) of the input column(s) dividing the input DataFrame 'data' into partitions, one for each combination of values in the group by columns.
Load or Percent Threshold: Choose whether to have a Load Threshold or a Percent Threshold.
Prime Factor Loadings: Specifies whether to generate Prime Factor Loadings Report in which rows are variables and columns are factors, matching each variable with the factor that has the biggest absolute loading value with.
Load Threshold: Specifies a threshold factor loading value.
Matrix Input: Specifies whether the input DataFrame is an extended sum-of-squares-and-cross-products (ESSCP) matrix built by the Matrix() VALIB function.
Matrix Type: Specifies type of matrix for processing affecting measure and score scaling.
Minimum Eigenvalue: Specifies the minimum eigen value to include factors for.
XML Report: Specifies whether to produce an XML report showing columns that are collinear as part of the output or not.
Percent Threshold: Specifies a threshold percent.
Rotation Type: Specifies the rotation type among various schemes for rotating factors for possibly better results.
Variance Percent Threshold: Specifies the variance proportion threshold parameter to generate Near Dependency Report.
Prime Factor Variables with Loadings Report: Specifies whether to generate Prime Factor Variables with Loadings Report, equivalent to Prime Factor Variables Report with the addition of loading values that determined the relationship between factors and variables.
Prime Factor Variables Report: Specifies whether to generate Prime Factor Variables Report in which rows are variables and columns are factors, matching variables with their prime factors, and if a threshold is used, possibly other than prime factors.
Output Schema: Output Schema, if Volatile is true then use user login as the schema.
Output Table: Output Table
VAL Location: VAL Location

Principal Component Analysis VAL

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