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gedeck · May 7, 2024 · 6b66678 · 6b66678
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diff --git a/IndustrialStatistics/InstallPackages.ipynb b/IndustrialStatistics/InstallPackages.ipynb
@@ -24,7 +24,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "pip install matplotlib numpy pandas scipy statsmodels seaborn pingouin lifelines dtreeviz svglib pwlf pyDOE2 diversipy pylibkriging inspyred"
+    "pip install matplotlib numpy pandas scipy statsmodels seaborn pingouin lifelines dtreeviz svglib pwlf pyDOE3 diversipy pylibkriging inspyred"
    ]
   },
   {

diff --git a/IndustrialStatistics/README.md b/IndustrialStatistics/README.md
@@ -77,7 +77,7 @@ These Python packages are used in the code of _Industrial Statistics_:
 - dtreeviz 
 - svglib 
 - pwlf 
-- pyDOE2 
+- pyDOE3
 - diversipy 
 - pylibkriging 
 - inspyred

diff --git a/IndustrialStatistics/code/Chap005.py b/IndustrialStatistics/code/Chap005.py
@@ -460,13 +460,13 @@ def renderDesign(design, mainEffects, to_latex=False):
     style = style.format(precision=0)
     return style.to_latex(hrules=True, column_format='c'+'r'*(len(columns)-1))
 
-from pyDOE2 import fracfact
+from pyDOE3 import fracfact
 design = pd.DataFrame(fracfact('A B C ABC'), columns='A B C ABC'.split())
 
 renderDesign(design, 'A B C'.split())
 
 print(renderDesign(design, 'A B C'.split(), to_latex=True))
-from pyDOE2 import fracfact
+from pyDOE3 import fracfact
 # define the generator
 generator = 'A B C ABC'
 design = pd.DataFrame(fracfact(generator), columns=generator.split())