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Table 3 Canonical correlation and structure matrix function for discriminating the types of stone compositions

From: Which anthropometric measurements including visceral fat, subcutaneous fat, body mass index, and waist circumference could predict the urinary stone composition most?

 

Structure matrix function

1

2

3

Viceral fact (cm2)

-.735*

-.011

.157

Outer circumference (cm)

-.411*

-.149

.210

Total fat (cm2)

-.398*

-.242

-.243

Age

-.267*

.023

.025

urine pH

.368

-.581*

-.276

Sex

.251

.313*

.091

Ratio of visceral fat to total fat (%)

-.278

.094

.730*

-.457

.385

.594*

-.046

-.347

-.471*

BMI

-.299

-.001

-.466*

 

Canonical discriminant function

1

2

3

Sex

.733

-.605

-.035

Age

-.023

-.014

.005

BMI

-.069

.091

-.244

Viceral fact (cm2)

-.030

-.015

-.001

Subcutaneous fat (cm2)

.011

-.002

-.001

Visceral/subcutaneous

.426

−2.099

1.646

Ratio of visceral fat to total fat (%)

.062

.147

-.037

Outer circumference (cm)

.057

.044

.082

urine pH

.278

.436

.117

(Constant)

−5.767

−9.336

−1.388

  1. Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions.
  2. *Largest absolute correlation between each variable and any discriminant function.