000			02122cam a22004577i 4500
001			18631991
005			20191203141744.0
008			150526t20152015flua b 001 0 eng d
010			_a 2015304688
015			_aGBB4D8103 _2bnb
015			_aGBB4D8499 _2bnb
016	7		_a016965587 _2Uk
016	7		_a016965983 _2Uk
020			_a9781482205473 (hardback)
035			_a(OCoLC)ocn903630995
040			_aCRCPR _beng _erda _dOCLCO _dOCLCQ _dOCLCF _dMYG _dUPM _dDLC
042			_alccopycat
050	0	0	_aQA278.5 _b.P35 2015
082	0	4	_a519.5/354 _223
100	1		_aPagès, Jérôme, _eauthor.
245	1	0	_aMultiple factor analysis by example using R / _cJérôme Pagès, Agrocampus-Ouest, Rennes, France.
264		1	_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c[2015]
264		4	_c©2015
300			_axiv, 257 pages : _billustrations ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aChapman & Hall/CRC the R series
504			_aIncludes bibliographical references (pages 249-251) and index.
505	0		_a1. Principal component analysis -- 2. Multiple correspondence analysis -- 3. Factorial analysis of mixed data -- 4. Weighting groups of variables -- 5. Comparing clouds of partial individuals -- 6. Factors common to different groups of variables -- 7. Comparing groups variables and Indscal model -- 8. Qualitative and mixed data -- 9. Multiple factor analysis and Procrustes analysis -- 10. Hierarchial multiple factor analysis -- 11. Matrix calculus and Euclidean vector space.
530			_aAlso available in electronic format.
650		0	_aFactor analysis.
650		0	_aR (Computer program language)
650		7	_aFactor analysis. _2fast _0(OCoLC)fst01432040
650		7	_aR (Computer program language) _2fast _0(OCoLC)fst01086207
776	0	8	_iElectronic version: _z9781482205480
830		0	_aChapman & Hall/CRC the R series (CRC Press)
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2udc _cBK
999			_c28222 _d28222